AdjointPlugin3InverseDesign.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "23bc2ee3-b625-4b4c-9c87-23dc715ad733",
   "metadata": {},
   "source": [
    "# Inverse design optimization of a mode converter\n",
    "\n",
    "> To install the `jax` module required for this feature, we recommend running `pip install \"tidy3d[jax]\"`.\n",
    "\n",
    "In this notebook, we will use inverse design and the Tidy3D `adjoint` plugin to create an integrated photonics component to convert a fundamental waveguide mode to a higher order mode."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "7257472c-5db1-4b93-8cdb-24b3cc32775d",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "from typing import List\n",
    "import numpy as np\n",
    "import matplotlib.pylab as plt\n",
    "\n",
    "# import jax to be able to use automatic differentiation\n",
    "import jax.numpy as jnp\n",
    "from jax import grad, value_and_grad\n",
    "\n",
    "# import regular tidy3d\n",
    "import tidy3d as td\n",
    "import tidy3d.web as web\n",
    "from tidy3d.plugins.mode import ModeSolver\n",
    "\n",
    "# import the components we need from the adjoint plugin\n",
    "from tidy3d.plugins.adjoint import JaxSimulation, JaxBox, JaxCustomMedium, JaxStructure\n",
    "from tidy3d.plugins.adjoint import JaxSimulationData, JaxDataArray, JaxPermittivityDataset\n",
    "from tidy3d.plugins.adjoint.web import run\n",
    "\n",
    "# set random seed to get same results\n",
    "np.random.seed(2)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "718337a6-e356-4810-8836-48ada41f31d2",
   "metadata": {},
   "source": [
    "## Setup\n",
    "\n",
    "We wish to recreate a device like the diagram below:\n",
    "\n",
    "<img src=\"img/AdjointInvDes.png\" width=800 alt=\"Schematic of the mode converter\">\n",
    "\n",
    "A mode source is injected into a waveguide on the left-hand side. The light propagates through a rectangular region filled with pixellated `Box` objects, each with a permittivity value independently tunable between 1 (vacuum) and some maximum permittivity. Finally, we measure the transmission of the light into a waveguide on the right-hand side.\n",
    "\n",
    "The goal of the inverse design exercise is to find the permittivities ($\\epsilon_{ij}$) of each `Box` in the coupling region to maximize the power conversion between the input mode and the output mode.\n",
    "\n",
    "### Parameters\n",
    "\n",
    "First we will define some parameters. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "b2c592b4-c210-46e3-94c2-d6a9bfb3ca73",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "# wavelength and frequency\n",
    "wavelength = 1.0\n",
    "freq0 = td.C_0 / wavelength\n",
    "k0 = 2 * np.pi * freq0 / td.C_0\n",
    "\n",
    "# resolution control\n",
    "dl = 0.01\n",
    "\n",
    "# space between boxes and PML\n",
    "buffer = 1.0 * wavelength\n",
    "\n",
    "# optimize region size\n",
    "lz = td.inf\n",
    "golden_ratio = 1.618\n",
    "lx = 5.0\n",
    "ly = lx / golden_ratio\n",
    "wg_width = 0.7\n",
    "\n",
    "# num cells\n",
    "nx = 120\n",
    "ny = int(nx / golden_ratio)\n",
    "num_cells = nx * ny\n",
    "\n",
    "# position of source and monitor (constant for all)\n",
    "source_x = -lx / 2 - buffer * 0.8\n",
    "meas_x = lx / 2 + buffer * 0.8\n",
    "\n",
    "# total size\n",
    "Lx = lx + 2 * buffer\n",
    "Ly = ly + 2 * buffer\n",
    "Lz = 0\n",
    "\n",
    "# permittivity info\n",
    "eps_wg = 2.75\n",
    "eps_deviation_random = 0.5\n",
    "eps_max = 5\n",
    "\n",
    "# note, we choose the starting parameters\n",
    "params0 = np.random.random((nx, ny))\n",
    "\n",
    "# frequency width and run time\n",
    "freqw = freq0 / 10\n",
    "run_time = 50 / freqw"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ac035f60-95f7-4f99-989d-67855acd5b15",
   "metadata": {},
   "source": [
    "### Static Components\n",
    "\n",
    "Next, we will set up the static parts of the geometry, the input source, and the output monitor using these parameters."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "9aa55de4-f748-4939-8b26-9098bb573653",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "waveguide = td.Structure(\n",
    "    geometry=td.Box(size=(td.inf, wg_width, lz)), medium=td.Medium(permittivity=eps_wg)\n",
    ")\n",
    "\n",
    "mode_size = (0, wg_width * 3, lz)\n",
    "\n",
    "source_plane = td.Box(\n",
    "    center=[source_x, 0, 0],\n",
    "    size=mode_size,\n",
    ")\n",
    "\n",
    "measure_plane = td.Box(\n",
    "    center=[meas_x, 0, 0],\n",
    "    size=mode_size,\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "afe16823-2271-4773-b0e3-a5ce3788ecae",
   "metadata": {},
   "source": [
    "### Input Structures\n",
    "\n",
    "Next, we write a function to return the pixellated array given our flattened tuple of permittivity values $\\epsilon_{ij}$ using [JaxCustomMedium](../api/_autosummary/tidy3d.plugins.adjoint.JaxCustomMedium.html?highlight=JaxCustomMedium#tidy3d.plugins.adjoint.JaxCustomMedium).\n",
    "\n",
    "We start with an array of parameters between 0 and 1, apply a two sets of the [ConicFilter](../api/_autosummary/tidy3d.plugins.adjoint.utils.filter.ConicFilter.html) and tanh projection to give large, more binarized features.\n",
    "\n",
    "We will feed the result of this function to our `JaxSimulation.input_structures` and will take the gradient w.r.t. the inputs."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "2d3e00d9-35f1-4e83-807c-66102b96ed5a",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "from tidy3d.plugins.adjoint.utils.filter import ConicFilter, BinaryProjector\n",
    "\n",
    "radius = .120\n",
    "beta = 50\n",
    "\n",
    "conic_filter = ConicFilter(radius=radius, design_region_dl=float(lx) / nx)\n",
    "\n",
    "def tanh_projection(x, beta, eta=0.5):\n",
    "    tanhbn = jnp.tanh(beta * eta)\n",
    "    num = tanhbn + jnp.tanh(beta * (x - eta))\n",
    "    den = tanhbn + jnp.tanh(beta * (1 - eta))\n",
    "    return num / den    \n",
    "\n",
    "def filter_project(x, beta, eta=0.5):\n",
    "    x = conic_filter.evaluate(x)\n",
    "    return tanh_projection(x, beta=beta, eta=eta)\n",
    "\n",
    "def pre_process(params, beta):\n",
    "    \"\"\"Get the permittivity values (1, eps_wg) array as a funciton of the parameters (0,1)\"\"\"\n",
    "    params1 = filter_project(params, beta=beta)\n",
    "    params2 = filter_project(params1, beta=beta)\n",
    "    return params2\n",
    "\n",
    "def get_eps(params, beta):\n",
    "    params = pre_process(params, beta=beta)\n",
    "    eps_values = 1.01 + (eps_wg - 1.01) * params\n",
    "    return eps_values\n",
    "    \n",
    "def make_input_structures(params, beta) -> List[JaxStructure]:\n",
    "\n",
    "    size_box_x = float(lx) / nx\n",
    "    size_box_y = float(ly) / ny\n",
    "    size_box = (size_box_x, size_box_y, lz)\n",
    "\n",
    "    x0_min = -lx / 2 + size_box_x / 2\n",
    "    y0_min = -ly / 2 + size_box_y / 2\n",
    "\n",
    "    input_structures = []\n",
    "\n",
    "    coords_x = [x0_min + index_x * size_box_x - 1e-5 for index_x in range(nx)]\n",
    "    coords_y = [y0_min + index_y * size_box_y - 1e-5 for index_y in range(ny)]\n",
    "\n",
    "    coords = dict(x=coords_x, y=coords_y, z=[0], f=[freq0])\n",
    "\n",
    "    eps_boxes = get_eps(params, beta=beta).reshape((nx, ny, 1, 1))\n",
    "\n",
    "    field_components = {\n",
    "        f\"eps_{dim}{dim}\": JaxDataArray(values=eps_boxes, coords=coords) for dim in \"xyz\"\n",
    "    }\n",
    "    eps_dataset = JaxPermittivityDataset(**field_components)\n",
    "    custom_medium = JaxCustomMedium(eps_dataset=eps_dataset)\n",
    "    box = JaxBox(center=(0, 0, 0), size=(lx, ly, lz))\n",
    "    custom_structure = JaxStructure(geometry=box, medium=custom_medium)\n",
    "    return [custom_structure]\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "75983c02-ca0f-4dcb-9c51-04ce9b5ac7ed",
   "metadata": {},
   "source": [
    "### Jax Simulation\n",
    "Next, we write a function to return a basic `JaxSimulation` as a function of our parameter values.\n",
    "\n",
    "We make sure to add the pixellated `JaxStructure` list to `input_structures` but leave out the sources and monitors for now as we'll want to add those after the mode solver is run so we can inspect them."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "3b09827b-a607-4631-977d-466f732e1d90",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "def make_sim_base(params, beta) -> JaxSimulation:\n",
    "\n",
    "    input_structures = make_input_structures(params, beta=beta)\n",
    "\n",
    "    return JaxSimulation(\n",
    "        size=[Lx, Ly, Lz],\n",
    "        grid_spec=td.GridSpec.uniform(dl=dl),\n",
    "        structures=[waveguide],\n",
    "        input_structures=input_structures,\n",
    "        sources=[],\n",
    "        monitors=[],\n",
    "        output_monitors=[],\n",
    "        run_time=run_time,\n",
    "        subpixel=True,\n",
    "        boundary_spec=td.BoundarySpec.pml(x=True, y=True, z=False),\n",
    "        shutoff=1e-8,\n",
    "        courant=0.9,\n",
    "    )\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2e7cd9e9-a41a-4353-a0ee-cec464bc2f2d",
   "metadata": {},
   "source": [
    "### Visualize\n",
    "Let's visualize the simulation to see how it looks"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "ae07fed6-c0e4-415a-8a55-58f1b02bd311",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sim_start = make_sim_base(params0, beta=1.0)\n",
    "\n",
    "ax = sim_start.plot_eps(z=0)\n",
    "\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5dc853c5-a191-4602-bf5b-7fa8761d51f1",
   "metadata": {},
   "source": [
    "### Select Input and Output Modes\n",
    "\n",
    "Next, let's visualize the first 4 mode profiles so we can select which mode indices we want to inject and transmit."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "6fc8e702-bfec-4b7f-8dd1-2b5189f9087f",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[10:39:27] </span>Mode solver created with                                             \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span><span style=\"color: #808000; text-decoration-color: #808000\">task_id</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'fdve-c7c52d6e-7808-4199-b1a5-6ed3ee731aabv1'</span>,               \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span><span style=\"color: #808000; text-decoration-color: #808000\">solver_id</span>=<span style=\"color: #008000; text-decoration-color: #008000\">'mo-c5f26f08-bd51-40b8-94ad-f8a41b80de43'</span>.                 \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001B[2;36m[10:39:27]\u001B[0m\u001B[2;36m \u001B[0mMode solver created with                                             \n",
       "\u001B[2;36m           \u001B[0m\u001B[33mtask_id\u001B[0m=\u001B[32m'fdve-c7c52d6e-7808-4199-b1a5-6ed3ee731aabv1'\u001B[0m,               \n",
       "\u001B[2;36m           \u001B[0m\u001B[33msolver_id\u001B[0m=\u001B[32m'mo-c5f26f08-bd51-40b8-94ad-f8a41b80de43'\u001B[0m.                 \n"
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     },
     "metadata": {},
     "output_type": "display_data"
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       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
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     },
     "metadata": {},
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    {
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      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "ae0fedf5c6dc4ff48118225d66271b17",
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      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
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     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[10:39:32] </span>Mode solver status: queued                                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001B[2;36m[10:39:32]\u001B[0m\u001B[2;36m \u001B[0mMode solver status: queued                                           \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[10:39:33] </span>Mode solver status: running                                          \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001B[2;36m[10:39:33]\u001B[0m\u001B[2;36m \u001B[0mMode solver status: running                                          \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[10:39:48] </span>Mode solver status: success                                          \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001B[2;36m[10:39:48]\u001B[0m\u001B[2;36m \u001B[0mMode solver status: success                                          \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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       "model_id": "a3f53e35641347d199cb3eb7a868e381",
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      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from tidy3d.plugins.mode.web import run as run_mode_solver\n",
    "num_modes = 4\n",
    "mode_spec = td.ModeSpec(num_modes=num_modes)\n",
    "\n",
    "mode_solver = ModeSolver(\n",
    "    simulation=sim_start.to_simulation()[0],\n",
    "    plane=source_plane,\n",
    "    mode_spec=td.ModeSpec(num_modes=num_modes),\n",
    "    freqs=[freq0]\n",
    ")\n",
    "modes = run_mode_solver(mode_solver)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "378dba26-b679-4302-8160-c6df489c7a65",
   "metadata": {},
   "source": [
    "Let's visualize the modes next."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "72502ab0-1055-4409-b11e-fae676f1d53e",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Effective index of computed modes:  [[1.5722036 1.5354296 1.3037262 1.1844178]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1400x1400 with 12 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"Effective index of computed modes: \", np.array(modes.n_eff))\n",
    "\n",
    "fig, axs = plt.subplots(num_modes, 3, figsize=(14, 14), tight_layout=True)\n",
    "for mode_ind in range(num_modes):\n",
    "    for field_ind, field_name in enumerate((\"Ex\", \"Ey\", \"Ez\")):\n",
    "        field = modes.field_components[field_name].sel(mode_index=mode_ind)\n",
    "        ax = axs[mode_ind, field_ind]\n",
    "        field.real.plot(ax=ax)\n",
    "        ax.set_title(f'index={mode_ind}, {field_name}(y)')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d5a09ce7-4e64-4ccb-8a8f-54c23c5c7d4a",
   "metadata": {},
   "source": [
    "We want to inject the fundamental, Ez-polarized input into the 1st order Ez-polarized input.\n",
    "\n",
    "From the plots, we see that these modes correspond to the first and third rows, or `mode_index=0` and `mode_index=2`, respectively. \n",
    "\n",
    "So we make sure that the `mode_index_in` and `mode_index_out` variables are set appropriately and we set a `ModeSpec` with 3 modes to be able to capture the `mode_index_out` in our output data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "14f6113f-e7fa-4c8d-93e4-9764f396caaa",
   "metadata": {},
   "outputs": [],
   "source": [
    "mode_index_in = 0\n",
    "mode_index_out = 2\n",
    "\n",
    "num_modes = max(mode_index_in, mode_index_out) + 1\n",
    "\n",
    "mode_spec = td.ModeSpec(num_modes=num_modes)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5f7dc503-a3cf-486e-8779-727952a721df",
   "metadata": {},
   "source": [
    "Then it is straightforward to generate our source and monitor."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "5bae2746-7ca7-420c-b727-309508621a5a",
   "metadata": {},
   "outputs": [],
   "source": [
    "# source seeding the simulation\n",
    "forward_source = td.ModeSource(\n",
    "    source_time=td.GaussianPulse(freq0=freq0, fwidth=freqw),\n",
    "    center=[source_x, 0, 0],\n",
    "    size=mode_size,\n",
    "    mode_index=mode_index_in,\n",
    "    mode_spec=mode_spec,\n",
    "    direction=\"+\",\n",
    ")\n",
    "\n",
    "# we'll refer to the measurement monitor by this name often\n",
    "measurement_monitor_name = \"measurement\"\n",
    "\n",
    "# monitor where we compute the objective function from\n",
    "measurement_monitor = td.ModeMonitor(\n",
    "    center=[meas_x, 0, 0],\n",
    "    size=mode_size,\n",
    "    freqs=[freq0],\n",
    "    mode_spec=mode_spec,\n",
    "    name=measurement_monitor_name,\n",
    ")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "87968720-3cd4-434c-97c4-acdb54b18b37",
   "metadata": {},
   "source": [
    "Finally, we create a new function that calls our `make_sim_base()` function and adds the source and monitor to the result. This is the function we will use in our objective function to generate our `JaxSimulation` given the input parameters."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "5dfc5be5-99f6-4c9c-8d73-15e696933013",
   "metadata": {},
   "outputs": [],
   "source": [
    "def make_sim(params, beta):\n",
    "    sim = make_sim_base(params, beta=beta)\n",
    "    return sim.updated_copy(sources=[forward_source], output_monitors=[measurement_monitor])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "61522716-a26f-400b-a005-5d9493ef7264",
   "metadata": {},
   "source": [
    "### Post Processing\n",
    "\n",
    "Next, we will define a function to tell us how we want to postprocess the output `JaxSimulationData` object to give the conversion power that we are interested in maximizing."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "2081ff1b-46fe-4bb0-9027-8c4ca0a359bd",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "def measure_power(sim_data: JaxSimulationData) -> float:\n",
    "    \"\"\"Return the power in the output_data amplitude at the mode index of interest.\"\"\"\n",
    "    output_amps = sim_data.output_data[0].amps\n",
    "    amp = output_amps.sel(direction=\"+\", f=freq0, mode_index=mode_index_out)\n",
    "    return jnp.sum(jnp.abs(amp) ** 2)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2b5d2213-e359-42f5-a933-d81950c27fe6",
   "metadata": {},
   "source": [
    "Then, we add a penalty to produce structures that are invariant under erosion and dilation, which is a useful approach to implementing minimum length scale features."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "56324536-f18c-457a-8e29-1fdd8e36a093",
   "metadata": {},
   "outputs": [],
   "source": [
    "def penalty(params, beta, delta_eps=0.49):\n",
    "    params = pre_process(params, beta=beta)\n",
    "    dilate_fn = lambda x: filter_project(x, beta=100, eta=0.5-delta_eps)\n",
    "    eroded_fn = lambda x: filter_project(x, beta=100, eta=0.5+delta_eps)\n",
    "\n",
    "    params_dilate_erode = eroded_fn(dilate_fn(params))\n",
    "    params_erode_dilate = dilate_fn(eroded_fn(params))\n",
    "    diff = params_dilate_erode - params_erode_dilate\n",
    "    return jnp.linalg.norm(diff) / jnp.linalg.norm(jnp.ones_like(diff))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5863a5c3-3b5e-4927-9e18-749b660e7c3f",
   "metadata": {},
   "source": [
    "### Define Objective Function\n",
    "\n",
    "Finally, we need to define the objective function that we want to maximize as a function of our input parameters (permittivity of each box) that returns the conversion power. This is the function we will differentiate later."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "71c5b2ed-a036-4578-ad44-89aa70f59e28",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "def J(params, beta: float, step_num: int = None, verbose: bool = False) -> float:\n",
    "    sim = make_sim(params, beta=beta)\n",
    "    task_name = \"inv_des\"\n",
    "    if step_num:\n",
    "        task_name += f\"_step_{step_num}\"\n",
    "    sim_data = run(sim, task_name=task_name, verbose=verbose)\n",
    "    penalty_weight = np.minimum(1, beta/25)\n",
    "    return measure_power(sim_data) - penalty_weight * penalty(params, beta)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "075f3d66-c98f-4410-829a-b178464de0b8",
   "metadata": {},
   "source": [
    "## Inverse Design\n",
    "\n",
    "Now we are ready to perform the optimization.\n",
    "\n",
    "We use the `jax.value_and_grad` function to get the gradient of `J` with respect to the permittivity of each `Box`, while also returning the converted power associated with the current iteration, so we can record this value for later.\n",
    "\n",
    "Let's try running this function once to make sure it works."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "9ee539ec-11a2-4107-8270-9d58c7607562",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "dJ_fn = value_and_grad(J)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "9c60dfdf-3518-44ce-b658-ea192950aa83",
   "metadata": {
    "tags": []
   },
   "outputs": [
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       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-f683dee2-8d29-47ef-9b4c-b3c8a8618f15v1'</span>.                       \n",
       "</pre>\n"
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       "\u001B[2;36m[10:39:51]\u001B[0m\u001B[2;36m \u001B[0mCreated task \u001B[32m'inv_des'\u001B[0m with task_id                                  \n",
       "\u001B[2;36m           \u001B[0m\u001B[32m'fdve-f683dee2-8d29-47ef-9b4c-b3c8a8618f15v1'\u001B[0m.                       \n"
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>View task using web UI at                                            \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-f683dee2-8d29-47ef-9b4c-b3c8a8618f15v1\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-f683dee2-8d29-</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-f683dee2-8d29-47ef-9b4c-b3c8a8618f15v1\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">47ef-9b4c-b3c8a8618f15v1'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                           \n",
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       "\u001B[2;36m          \u001B[0m\u001B[2;36m \u001B[0mView task using web UI at                                            \n",
       "\u001B[2;36m           \u001B[0m\u001B]8;id=521097;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f683dee2-8d29-47ef-9b4c-b3c8a8618f15v1\u001B\\\u001B[4;34m'https://tidy3d.simulation.cloud/workbench?\u001B[0m\u001B]8;;\u001B\\\u001B]8;id=310071;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f683dee2-8d29-47ef-9b4c-b3c8a8618f15v1\u001B\\\u001B[4;34mtaskId\u001B[0m\u001B]8;;\u001B\\\u001B]8;id=521097;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f683dee2-8d29-47ef-9b4c-b3c8a8618f15v1\u001B\\\u001B[4;34m=\u001B[0m\u001B]8;;\u001B\\\u001B]8;id=506286;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f683dee2-8d29-47ef-9b4c-b3c8a8618f15v1\u001B\\\u001B[4;34mfdve\u001B[0m\u001B]8;;\u001B\\\u001B]8;id=521097;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f683dee2-8d29-47ef-9b4c-b3c8a8618f15v1\u001B\\\u001B[4;34m-f683dee2-8d29-\u001B[0m\u001B]8;;\u001B\\\n",
       "\u001B[2;36m           \u001B[0m\u001B]8;id=521097;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f683dee2-8d29-47ef-9b4c-b3c8a8618f15v1\u001B\\\u001B[4;34m47ef-9b4c-b3c8a8618f15v1'\u001B[0m\u001B]8;;\u001B\\\u001B[4;34m.\u001B[0m                                           \n"
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       "</pre>\n"
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       "\n"
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       "Output()"
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      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
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      "text/plain": []
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      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
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    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[10:39:53] </span>status = queued                                                      \n",
       "</pre>\n"
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      "text/plain": [
       "\u001B[2;36m[10:39:53]\u001B[0m\u001B[2;36m \u001B[0mstatus = queued                                                      \n"
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     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[10:40:03] </span>status = preprocess                                                  \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001B[2;36m[10:40:03]\u001B[0m\u001B[2;36m \u001B[0mstatus = preprocess                                                  \n"
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     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
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      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[10:40:09] </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get  \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>the billed FlexCredit cost after a simulation run.                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001B[2;36m[10:40:09]\u001B[0m\u001B[2;36m \u001B[0mMaximum FlexCredit cost: \u001B[1;36m0.025\u001B[0m. Use \u001B[32m'web.real_cost\u001B[0m\u001B[32m(\u001B[0m\u001B[32mtask_id\u001B[0m\u001B[32m)\u001B[0m\u001B[32m'\u001B[0m to get  \n",
       "\u001B[2;36m           \u001B[0mthe billed FlexCredit cost after a simulation run.                   \n"
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>starting up solver                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001B[2;36m          \u001B[0m\u001B[2;36m \u001B[0mstarting up solver                                                   \n"
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>running solver                                                       \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001B[2;36m          \u001B[0m\u001B[2;36m \u001B[0mrunning solver                                                       \n"
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>To cancel the simulation, use <span style=\"color: #008000; text-decoration-color: #008000\">'web.abort(task_id)'</span> or                \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.delete(task_id)'</span> or abort/delete the task in the web UI.        \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>Terminating the Python script will not stop the job running on the   \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>cloud.                                                               \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001B[2;36m          \u001B[0m\u001B[2;36m \u001B[0mTo cancel the simulation, use \u001B[32m'web.abort\u001B[0m\u001B[32m(\u001B[0m\u001B[32mtask_id\u001B[0m\u001B[32m)\u001B[0m\u001B[32m'\u001B[0m or                \n",
       "\u001B[2;36m           \u001B[0m\u001B[32m'web.delete\u001B[0m\u001B[32m(\u001B[0m\u001B[32mtask_id\u001B[0m\u001B[32m)\u001B[0m\u001B[32m'\u001B[0m or abort/delete the task in the web UI.        \n",
       "\u001B[2;36m           \u001B[0mTerminating the Python script will not stop the job running on the   \n",
       "\u001B[2;36m           \u001B[0mcloud.                                                               \n"
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       "Output()"
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      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[10:40:17] </span>early shutoff detected, exiting.                                     \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001B[2;36m[10:40:17]\u001B[0m\u001B[2;36m \u001B[0mearly shutoff detected, exiting.                                     \n"
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
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    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>status = postprocess                                                 \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001B[2;36m          \u001B[0m\u001B[2;36m \u001B[0mstatus = postprocess                                                 \n"
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[10:40:33] </span>status = success                                                     \n",
       "</pre>\n"
      ],
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       "\u001B[2;36m[10:40:33]\u001B[0m\u001B[2;36m \u001B[0mstatus = success                                                     \n"
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[10:40:34] </span>View simulation result at                                            \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-f683dee2-8d29-47ef-9b4c-b3c8a8618f15v1\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-f683dee2-8d29-</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-f683dee2-8d29-47ef-9b4c-b3c8a8618f15v1\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">47ef-9b4c-b3c8a8618f15v1'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001B[2;36m[10:40:34]\u001B[0m\u001B[2;36m \u001B[0mView simulation result at                                            \n",
       "\u001B[2;36m           \u001B[0m\u001B]8;id=42368;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f683dee2-8d29-47ef-9b4c-b3c8a8618f15v1\u001B\\\u001B[4;34m'https://tidy3d.simulation.cloud/workbench?\u001B[0m\u001B]8;;\u001B\\\u001B]8;id=592239;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f683dee2-8d29-47ef-9b4c-b3c8a8618f15v1\u001B\\\u001B[4;34mtaskId\u001B[0m\u001B]8;;\u001B\\\u001B]8;id=42368;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f683dee2-8d29-47ef-9b4c-b3c8a8618f15v1\u001B\\\u001B[4;34m=\u001B[0m\u001B]8;;\u001B\\\u001B]8;id=890845;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f683dee2-8d29-47ef-9b4c-b3c8a8618f15v1\u001B\\\u001B[4;34mfdve\u001B[0m\u001B]8;;\u001B\\\u001B]8;id=42368;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f683dee2-8d29-47ef-9b4c-b3c8a8618f15v1\u001B\\\u001B[4;34m-f683dee2-8d29-\u001B[0m\u001B]8;;\u001B\\\n",
       "\u001B[2;36m           \u001B[0m\u001B]8;id=42368;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f683dee2-8d29-47ef-9b4c-b3c8a8618f15v1\u001B\\\u001B[4;34m47ef-9b4c-b3c8a8618f15v1'\u001B[0m\u001B]8;;\u001B\\\u001B[4;34m.\u001B[0m                                           \n"
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       "Output()"
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
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    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>loading SimulationData from simulation_data.hdf5                     \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001B[2;36m          \u001B[0m\u001B[2;36m \u001B[0mloading SimulationData from simulation_data.hdf5                     \n"
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      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[10:40:35] </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'inv_des_adj'</span> with task_id                              \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-c8579236-2281-4acf-8272-10bcc9cb9b17v1'</span>.                       \n",
       "</pre>\n"
      ],
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       "\u001B[2;36m[10:40:35]\u001B[0m\u001B[2;36m \u001B[0mCreated task \u001B[32m'inv_des_adj'\u001B[0m with task_id                              \n",
       "\u001B[2;36m           \u001B[0m\u001B[32m'fdve-c8579236-2281-4acf-8272-10bcc9cb9b17v1'\u001B[0m.                       \n"
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>View task using web UI at                                            \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-c8579236-2281-4acf-8272-10bcc9cb9b17v1\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-c8579236-2281-</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-c8579236-2281-4acf-8272-10bcc9cb9b17v1\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">4acf-8272-10bcc9cb9b17v1'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                           \n",
       "</pre>\n"
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      "text/plain": [
       "\u001B[2;36m          \u001B[0m\u001B[2;36m \u001B[0mView task using web UI at                                            \n",
       "\u001B[2;36m           \u001B[0m\u001B]8;id=928287;https://tidy3d.simulation.cloud/workbench?taskId=fdve-c8579236-2281-4acf-8272-10bcc9cb9b17v1\u001B\\\u001B[4;34m'https://tidy3d.simulation.cloud/workbench?\u001B[0m\u001B]8;;\u001B\\\u001B]8;id=846575;https://tidy3d.simulation.cloud/workbench?taskId=fdve-c8579236-2281-4acf-8272-10bcc9cb9b17v1\u001B\\\u001B[4;34mtaskId\u001B[0m\u001B]8;;\u001B\\\u001B]8;id=928287;https://tidy3d.simulation.cloud/workbench?taskId=fdve-c8579236-2281-4acf-8272-10bcc9cb9b17v1\u001B\\\u001B[4;34m=\u001B[0m\u001B]8;;\u001B\\\u001B]8;id=517648;https://tidy3d.simulation.cloud/workbench?taskId=fdve-c8579236-2281-4acf-8272-10bcc9cb9b17v1\u001B\\\u001B[4;34mfdve\u001B[0m\u001B]8;;\u001B\\\u001B]8;id=928287;https://tidy3d.simulation.cloud/workbench?taskId=fdve-c8579236-2281-4acf-8272-10bcc9cb9b17v1\u001B\\\u001B[4;34m-c8579236-2281-\u001B[0m\u001B]8;;\u001B\\\n",
       "\u001B[2;36m           \u001B[0m\u001B]8;id=928287;https://tidy3d.simulation.cloud/workbench?taskId=fdve-c8579236-2281-4acf-8272-10bcc9cb9b17v1\u001B\\\u001B[4;34m4acf-8272-10bcc9cb9b17v1'\u001B[0m\u001B]8;;\u001B\\\u001B[4;34m.\u001B[0m                                           \n"
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       "</pre>\n"
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       "\n"
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       "Output()"
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
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       "\n"
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    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[10:40:38] </span>status = queued                                                      \n",
       "</pre>\n"
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       "\u001B[2;36m[10:40:38]\u001B[0m\u001B[2;36m \u001B[0mstatus = queued                                                      \n"
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      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[10:40:47] </span>status = preprocess                                                  \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001B[2;36m[10:40:47]\u001B[0m\u001B[2;36m \u001B[0mstatus = preprocess                                                  \n"
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[10:40:53] </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get  \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>the billed FlexCredit cost after a simulation run.                   \n",
       "</pre>\n"
      ],
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       "\u001B[2;36m[10:40:53]\u001B[0m\u001B[2;36m \u001B[0mMaximum FlexCredit cost: \u001B[1;36m0.025\u001B[0m. Use \u001B[32m'web.real_cost\u001B[0m\u001B[32m(\u001B[0m\u001B[32mtask_id\u001B[0m\u001B[32m)\u001B[0m\u001B[32m'\u001B[0m to get  \n",
       "\u001B[2;36m           \u001B[0mthe billed FlexCredit cost after a simulation run.                   \n"
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>starting up solver                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001B[2;36m          \u001B[0m\u001B[2;36m \u001B[0mstarting up solver                                                   \n"
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>running solver                                                       \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001B[2;36m          \u001B[0m\u001B[2;36m \u001B[0mrunning solver                                                       \n"
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>To cancel the simulation, use <span style=\"color: #008000; text-decoration-color: #008000\">'web.abort(task_id)'</span> or                \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.delete(task_id)'</span> or abort/delete the task in the web UI.        \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>Terminating the Python script will not stop the job running on the   \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>cloud.                                                               \n",
       "</pre>\n"
      ],
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       "\u001B[2;36m          \u001B[0m\u001B[2;36m \u001B[0mTo cancel the simulation, use \u001B[32m'web.abort\u001B[0m\u001B[32m(\u001B[0m\u001B[32mtask_id\u001B[0m\u001B[32m)\u001B[0m\u001B[32m'\u001B[0m or                \n",
       "\u001B[2;36m           \u001B[0m\u001B[32m'web.delete\u001B[0m\u001B[32m(\u001B[0m\u001B[32mtask_id\u001B[0m\u001B[32m)\u001B[0m\u001B[32m'\u001B[0m or abort/delete the task in the web UI.        \n",
       "\u001B[2;36m           \u001B[0mTerminating the Python script will not stop the job running on the   \n",
       "\u001B[2;36m           \u001B[0mcloud.                                                               \n"
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       "</pre>\n"
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       "\n"
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     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[10:41:01] </span>status = postprocess                                                 \n",
       "</pre>\n"
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       "\u001B[2;36m[10:41:01]\u001B[0m\u001B[2;36m \u001B[0mstatus = postprocess                                                 \n"
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[10:41:09] </span>status = success                                                     \n",
       "</pre>\n"
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       "\u001B[2;36m[10:41:09]\u001B[0m\u001B[2;36m \u001B[0mstatus = success                                                     \n"
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>View simulation result at                                            \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-c8579236-2281-4acf-8272-10bcc9cb9b17v1\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-c8579236-2281-</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-c8579236-2281-4acf-8272-10bcc9cb9b17v1\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">4acf-8272-10bcc9cb9b17v1'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                           \n",
       "</pre>\n"
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      "text/plain": [
       "\u001B[2;36m          \u001B[0m\u001B[2;36m \u001B[0mView simulation result at                                            \n",
       "\u001B[2;36m           \u001B[0m\u001B]8;id=848367;https://tidy3d.simulation.cloud/workbench?taskId=fdve-c8579236-2281-4acf-8272-10bcc9cb9b17v1\u001B\\\u001B[4;34m'https://tidy3d.simulation.cloud/workbench?\u001B[0m\u001B]8;;\u001B\\\u001B]8;id=380615;https://tidy3d.simulation.cloud/workbench?taskId=fdve-c8579236-2281-4acf-8272-10bcc9cb9b17v1\u001B\\\u001B[4;34mtaskId\u001B[0m\u001B]8;;\u001B\\\u001B]8;id=848367;https://tidy3d.simulation.cloud/workbench?taskId=fdve-c8579236-2281-4acf-8272-10bcc9cb9b17v1\u001B\\\u001B[4;34m=\u001B[0m\u001B]8;;\u001B\\\u001B]8;id=676924;https://tidy3d.simulation.cloud/workbench?taskId=fdve-c8579236-2281-4acf-8272-10bcc9cb9b17v1\u001B\\\u001B[4;34mfdve\u001B[0m\u001B]8;;\u001B\\\u001B]8;id=848367;https://tidy3d.simulation.cloud/workbench?taskId=fdve-c8579236-2281-4acf-8272-10bcc9cb9b17v1\u001B\\\u001B[4;34m-c8579236-2281-\u001B[0m\u001B]8;;\u001B\\\n",
       "\u001B[2;36m           \u001B[0m\u001B]8;id=848367;https://tidy3d.simulation.cloud/workbench?taskId=fdve-c8579236-2281-4acf-8272-10bcc9cb9b17v1\u001B\\\u001B[4;34m4acf-8272-10bcc9cb9b17v1'\u001B[0m\u001B]8;;\u001B\\\u001B[4;34m.\u001B[0m                                           \n"
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       "model_id": "1b6ddce0fcc14edbb73dc2e9e3e695c6",
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       "version_minor": 0
      },
      "text/plain": [
       "Output()"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(120, 74)\n"
     ]
    }
   ],
   "source": [
    "val, grad = dJ_fn(params0, beta=1, verbose=True)\n",
    "print(grad.shape)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "529fad9d-3692-464b-9a45-bea3e084c1b5",
   "metadata": {},
   "source": [
    "### Optimization\n",
    "\n",
    "We will use \"Adam\" optimization strategy to perform sequential updates of each of the permittivity values in the [JaxCustomMedium](../api/_autosummary/tidy3d.plugins.adjoint.JaxCustomMedium.html?highlight=JaxCustomMedium#tidy3d.plugins.adjoint.JaxCustomMedium).\n",
    "\n",
    "For more information on what we use to implement this method, see [this article](https://optimization.cbe.cornell.edu/index.php?title=Adam).\n",
    "\n",
    "We will run 10 steps and measure both the permittivities and powers at each iteration.\n",
    "\n",
    "We capture this process in an `optimize` function, which accepts various parameters that we can tweak."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "3eedf09a-9265-43ec-a557-3d0ec5b774bb",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "step = 1\n",
      "\tbeta = 1.0000e+00\n",
      "\tJ = -3.8597e-02\n",
      "\tgrad_norm = 1.0249e-02\n",
      "step = 2\n",
      "\tbeta = 1.9500e+00\n",
      "\tJ = 8.2090e-02\n",
      "\tgrad_norm = 4.0652e-02\n",
      "step = 3\n",
      "\tbeta = 2.9000e+00\n",
      "\tJ = -2.7403e-02\n",
      "\tgrad_norm = 3.7371e-02\n",
      "step = 4\n",
      "\tbeta = 3.8500e+00\n",
      "\tJ = 1.7427e-01\n",
      "\tgrad_norm = 3.9007e-02\n",
      "step = 5\n",
      "\tbeta = 4.8000e+00\n",
      "\tJ = 3.4977e-01\n",
      "\tgrad_norm = 3.5042e-02\n",
      "step = 6\n",
      "\tbeta = 5.7500e+00\n",
      "\tJ = 4.6830e-01\n",
      "\tgrad_norm = 4.5729e-02\n",
      "step = 7\n",
      "\tbeta = 6.7000e+00\n",
      "\tJ = 5.6072e-01\n",
      "\tgrad_norm = 5.9253e-02\n",
      "step = 8\n",
      "\tbeta = 7.6500e+00\n",
      "\tJ = 6.3358e-01\n",
      "\tgrad_norm = 5.0639e-02\n",
      "step = 9\n",
      "\tbeta = 8.6000e+00\n",
      "\tJ = 6.7862e-01\n",
      "\tgrad_norm = 6.3358e-02\n",
      "step = 10\n",
      "\tbeta = 9.5500e+00\n",
      "\tJ = 6.9358e-01\n",
      "\tgrad_norm = 5.0239e-02\n",
      "step = 11\n",
      "\tbeta = 1.0500e+01\n",
      "\tJ = 7.3705e-01\n",
      "\tgrad_norm = 2.3211e-02\n",
      "step = 12\n",
      "\tbeta = 1.1450e+01\n",
      "\tJ = 7.5364e-01\n",
      "\tgrad_norm = 2.5622e-02\n",
      "step = 13\n",
      "\tbeta = 1.2400e+01\n",
      "\tJ = 7.6622e-01\n",
      "\tgrad_norm = 2.4433e-02\n",
      "step = 14\n",
      "\tbeta = 1.3350e+01\n",
      "\tJ = 7.7240e-01\n",
      "\tgrad_norm = 3.0112e-02\n",
      "step = 15\n",
      "\tbeta = 1.4300e+01\n",
      "\tJ = 7.7340e-01\n",
      "\tgrad_norm = 2.4709e-02\n",
      "step = 16\n",
      "\tbeta = 1.5250e+01\n",
      "\tJ = 7.8252e-01\n",
      "\tgrad_norm = 2.0690e-02\n",
      "step = 17\n",
      "\tbeta = 1.6200e+01\n",
      "\tJ = 7.8002e-01\n",
      "\tgrad_norm = 2.8851e-02\n",
      "step = 18\n",
      "\tbeta = 1.7150e+01\n",
      "\tJ = 7.8509e-01\n",
      "\tgrad_norm = 2.4020e-02\n",
      "step = 19\n",
      "\tbeta = 1.8100e+01\n",
      "\tJ = 7.8834e-01\n",
      "\tgrad_norm = 3.3033e-02\n",
      "step = 20\n",
      "\tbeta = 1.9050e+01\n",
      "\tJ = 7.7581e-01\n",
      "\tgrad_norm = 4.5443e-02\n"
     ]
    }
   ],
   "source": [
    "import optax\n",
    "\n",
    "# hyperparameters\n",
    "num_steps = 20\n",
    "learning_rate = 1.0\n",
    "\n",
    "# initialize adam optimizer with starting parameters\n",
    "params = np.array(params0)\n",
    "optimizer = optax.adam(learning_rate=learning_rate)\n",
    "opt_state = optimizer.init(params)\n",
    "\n",
    "# store history\n",
    "Js = []\n",
    "params_history = [params]\n",
    "beta_history = []\n",
    "\n",
    "beta0 = 1.0\n",
    "beta_final = 20\n",
    "\n",
    "for i in range(num_steps):\n",
    "\n",
    "    # compute gradient and current objective funciton value\n",
    "\n",
    "    perc_done = i / num_steps\n",
    "    beta = beta0 * (1 - perc_done) + beta_final * perc_done\n",
    "    value, gradient = dJ_fn(params, step_num=i+1, beta=beta)\n",
    "\n",
    "    # outputs\n",
    "    print(f\"step = {i + 1}\")\n",
    "    print(f\"\\tbeta = {beta:.4e}\")\n",
    "    print(f\"\\tJ = {value:.4e}\")\n",
    "    print(f\"\\tgrad_norm = {np.linalg.norm(gradient):.4e}\")    \n",
    "\n",
    "    # compute and apply updates to the optimizer based on gradient (-1 sign to maximize obj_fn)\n",
    "    updates, opt_state = optimizer.update(-gradient, opt_state, params)\n",
    "    params = optax.apply_updates(params, updates)\n",
    "\n",
    "    # cap the parameters\n",
    "    params = jnp.minimum(params, 1.0)\n",
    "    params = jnp.maximum(params, 0.0)\n",
    "\n",
    "    # save history\n",
    "    Js.append(value)\n",
    "    params_history.append(params)   \n",
    "    beta_history.append(beta)\n",
    "\n",
    "power = J(params_history[-1], beta=beta)\n",
    "Js.append(power)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "30ce10a9-526c-434a-8606-f31c33949a41",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "params_final = params_history[-1]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6af5ad27-46a0-4f72-975d-ebe3040ee446",
   "metadata": {},
   "source": [
    "Let's run the optimize function."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bd0b335a-c8bd-49a9-a1c5-f08b6125f21b",
   "metadata": {},
   "source": [
    "and then record the final power value (including the last iteration's parameter updates)."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e0b44fda-bf57-42cf-8370-05bf20de96df",
   "metadata": {},
   "source": [
    "### Results\n",
    "\n",
    "First, we plot the objective function (power converted to 1st order mode) as a function of step and notice that it converges nicely!\n",
    "\n",
    "The final device converts about 90% of the input power to the 1st mode, up from < 1% when we started, with room for improvement if we run with more steps."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "bc757643-2b71-4394-8fa6-f24c305848af",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(Js)\n",
    "plt.xlabel(\"iterations\")\n",
    "plt.ylabel(\"objective function\")\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "26d5312b-d4ab-4621-bcc9-dfc0f22a5ce1",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Initial power conversion = 0.14 %\n",
      "Final power conversion = 84.41 %\n"
     ]
    }
   ],
   "source": [
    "def get_efficiency(params, beta):\n",
    "    sim = make_sim(params, beta=beta)\n",
    "    task_name = \"inv_des\"\n",
    "    sim_data = run(sim, task_name=task_name, verbose=False)\n",
    "    return measure_power(sim_data)\n",
    "\n",
    "eff_initial = get_efficiency(params0, beta=beta_history[0])\n",
    "eff_final = get_efficiency(params_final, beta=beta_history[-1])\n",
    "\n",
    "print(f\"Initial power conversion = {eff_initial*100:.2f} %\")\n",
    "print(f\"Final power conversion = {eff_final*100:.2f} %\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "209d151d-4fe5-4b5e-8c3b-633c0b451c70",
   "metadata": {},
   "source": [
    "We then will visualize the final structure, so we convert it to a regular `Simulation` using the final permittivity values and plot it."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "cfde96ed-f4b4-4106-b70e-0659058a82d6",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "sim_final = make_sim(params_final, beta=beta)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "2c1ec6e0-cd42-4ef3-af95-5cbf7e0327a1",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sim_final = sim_final.to_simulation()[0]\n",
    "sim_final.plot_eps(z=0)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a6309d9a-01da-46da-96f1-236e86d7aa30",
   "metadata": {},
   "source": [
    "Finally, we want to inspect the fields, so we add a field monitor to the `Simulation` and perform one more run to record the field values for plotting."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "3d9e6150-7b42-42c8-8418-2af4d02a1ec8",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[11:08:46] </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Default value for the field monitor </span><span style=\"color: #008000; text-decoration-color: #008000\">'colocate'</span><span style=\"color: #800000; text-decoration-color: #800000\"> setting has  </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span><span style=\"color: #800000; text-decoration-color: #800000\">changed to </span><span style=\"color: #008000; text-decoration-color: #008000\">'True'</span><span style=\"color: #800000; text-decoration-color: #800000\"> in Tidy3D </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">2.4</span><span style=\"color: #800000; text-decoration-color: #800000\">.</span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0</span><span style=\"color: #800000; text-decoration-color: #800000\">. All field components will be      </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span><span style=\"color: #800000; text-decoration-color: #800000\">colocated to the grid boundaries. Set to </span><span style=\"color: #008000; text-decoration-color: #008000\">'False'</span><span style=\"color: #800000; text-decoration-color: #800000\"> to get the raw      </span>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span><span style=\"color: #800000; text-decoration-color: #800000\">fields on the Yee grid instead.                                      </span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001B[2;36m[11:08:46]\u001B[0m\u001B[2;36m \u001B[0m\u001B[31mWARNING: Default value for the field monitor \u001B[0m\u001B[32m'colocate'\u001B[0m\u001B[31m setting has  \u001B[0m\n",
       "\u001B[2;36m           \u001B[0m\u001B[31mchanged to \u001B[0m\u001B[32m'True'\u001B[0m\u001B[31m in Tidy3D \u001B[0m\u001B[1;36m2.4\u001B[0m\u001B[31m.\u001B[0m\u001B[1;36m0\u001B[0m\u001B[31m. All field components will be      \u001B[0m\n",
       "\u001B[2;36m           \u001B[0m\u001B[31mcolocated to the grid boundaries. Set to \u001B[0m\u001B[32m'False'\u001B[0m\u001B[31m to get the raw      \u001B[0m\n",
       "\u001B[2;36m           \u001B[0m\u001B[31mfields on the Yee grid instead.                                      \u001B[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "field_mnt = td.FieldMonitor(\n",
    "    size=(td.inf, td.inf, 0),\n",
    "    freqs=[freq0],\n",
    "    name=\"field_mnt\",\n",
    ")\n",
    "\n",
    "sim_final = sim_final.copy(update=dict(monitors=(field_mnt,)))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "eb9e98d5-70e7-4fea-abcf-047489bd6a22",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'inv_des_final'</span> with task_id                            \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-be1a609c-8148-49f5-b965-3d5ba7d113d1v1'</span>.                       \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001B[2;36m          \u001B[0m\u001B[2;36m \u001B[0mCreated task \u001B[32m'inv_des_final'\u001B[0m with task_id                            \n",
       "\u001B[2;36m           \u001B[0m\u001B[32m'fdve-be1a609c-8148-49f5-b965-3d5ba7d113d1v1'\u001B[0m.                       \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>View task using web UI at                                            \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-be1a609c-8148-49f5-b965-3d5ba7d113d1v1\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-be1a609c-8148-</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-be1a609c-8148-49f5-b965-3d5ba7d113d1v1\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">49f5-b965-3d5ba7d113d1v1'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001B[2;36m          \u001B[0m\u001B[2;36m \u001B[0mView task using web UI at                                            \n",
       "\u001B[2;36m           \u001B[0m\u001B]8;id=815962;https://tidy3d.simulation.cloud/workbench?taskId=fdve-be1a609c-8148-49f5-b965-3d5ba7d113d1v1\u001B\\\u001B[4;34m'https://tidy3d.simulation.cloud/workbench?\u001B[0m\u001B]8;;\u001B\\\u001B]8;id=392912;https://tidy3d.simulation.cloud/workbench?taskId=fdve-be1a609c-8148-49f5-b965-3d5ba7d113d1v1\u001B\\\u001B[4;34mtaskId\u001B[0m\u001B]8;;\u001B\\\u001B]8;id=815962;https://tidy3d.simulation.cloud/workbench?taskId=fdve-be1a609c-8148-49f5-b965-3d5ba7d113d1v1\u001B\\\u001B[4;34m=\u001B[0m\u001B]8;;\u001B\\\u001B]8;id=97680;https://tidy3d.simulation.cloud/workbench?taskId=fdve-be1a609c-8148-49f5-b965-3d5ba7d113d1v1\u001B\\\u001B[4;34mfdve\u001B[0m\u001B]8;;\u001B\\\u001B]8;id=815962;https://tidy3d.simulation.cloud/workbench?taskId=fdve-be1a609c-8148-49f5-b965-3d5ba7d113d1v1\u001B\\\u001B[4;34m-be1a609c-8148-\u001B[0m\u001B]8;;\u001B\\\n",
       "\u001B[2;36m           \u001B[0m\u001B]8;id=815962;https://tidy3d.simulation.cloud/workbench?taskId=fdve-be1a609c-8148-49f5-b965-3d5ba7d113d1v1\u001B\\\u001B[4;34m49f5-b965-3d5ba7d113d1v1'\u001B[0m\u001B]8;;\u001B\\\u001B[4;34m.\u001B[0m                                           \n"
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     },
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       "model_id": "e9269e283ea1431ca55746914bdd33bb",
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       "Output()"
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    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[11:08:48] </span>status = queued                                                      \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001B[2;36m[11:08:48]\u001B[0m\u001B[2;36m \u001B[0mstatus = queued                                                      \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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       "Output()"
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     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[11:08:56] </span>status = preprocess                                                  \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001B[2;36m[11:08:56]\u001B[0m\u001B[2;36m \u001B[0mstatus = preprocess                                                  \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[11:09:02] </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.025</span>. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get  \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>the billed FlexCredit cost after a simulation run.                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001B[2;36m[11:09:02]\u001B[0m\u001B[2;36m \u001B[0mMaximum FlexCredit cost: \u001B[1;36m0.025\u001B[0m. Use \u001B[32m'web.real_cost\u001B[0m\u001B[32m(\u001B[0m\u001B[32mtask_id\u001B[0m\u001B[32m)\u001B[0m\u001B[32m'\u001B[0m to get  \n",
       "\u001B[2;36m           \u001B[0mthe billed FlexCredit cost after a simulation run.                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>starting up solver                                                   \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001B[2;36m          \u001B[0m\u001B[2;36m \u001B[0mstarting up solver                                                   \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>running solver                                                       \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001B[2;36m          \u001B[0m\u001B[2;36m \u001B[0mrunning solver                                                       \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>To cancel the simulation, use <span style=\"color: #008000; text-decoration-color: #008000\">'web.abort(task_id)'</span> or                \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.delete(task_id)'</span> or abort/delete the task in the web UI.        \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>Terminating the Python script will not stop the job running on the   \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>cloud.                                                               \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001B[2;36m          \u001B[0m\u001B[2;36m \u001B[0mTo cancel the simulation, use \u001B[32m'web.abort\u001B[0m\u001B[32m(\u001B[0m\u001B[32mtask_id\u001B[0m\u001B[32m)\u001B[0m\u001B[32m'\u001B[0m or                \n",
       "\u001B[2;36m           \u001B[0m\u001B[32m'web.delete\u001B[0m\u001B[32m(\u001B[0m\u001B[32mtask_id\u001B[0m\u001B[32m)\u001B[0m\u001B[32m'\u001B[0m or abort/delete the task in the web UI.        \n",
       "\u001B[2;36m           \u001B[0mTerminating the Python script will not stop the job running on the   \n",
       "\u001B[2;36m           \u001B[0mcloud.                                                               \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
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    {
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       "Output()"
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     "metadata": {},
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    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[11:09:13] </span>early shutoff detected, exiting.                                     \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001B[2;36m[11:09:13]\u001B[0m\u001B[2;36m \u001B[0mearly shutoff detected, exiting.                                     \n"
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     },
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    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>status = postprocess                                                 \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001B[2;36m          \u001B[0m\u001B[2;36m \u001B[0mstatus = postprocess                                                 \n"
      ]
     },
     "metadata": {},
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       "Output()"
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     "metadata": {},
     "output_type": "display_data"
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    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[11:09:43] </span>status = success                                                     \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001B[2;36m[11:09:43]\u001B[0m\u001B[2;36m \u001B[0mstatus = success                                                     \n"
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       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
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     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span>View simulation result at                                            \n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-be1a609c-8148-49f5-b965-3d5ba7d113d1v1\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-be1a609c-8148-</span></a>\n",
       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">           </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-be1a609c-8148-49f5-b965-3d5ba7d113d1v1\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">49f5-b965-3d5ba7d113d1v1'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                           \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001B[2;36m          \u001B[0m\u001B[2;36m \u001B[0mView simulation result at                                            \n",
       "\u001B[2;36m           \u001B[0m\u001B]8;id=781622;https://tidy3d.simulation.cloud/workbench?taskId=fdve-be1a609c-8148-49f5-b965-3d5ba7d113d1v1\u001B\\\u001B[4;34m'https://tidy3d.simulation.cloud/workbench?\u001B[0m\u001B]8;;\u001B\\\u001B]8;id=733432;https://tidy3d.simulation.cloud/workbench?taskId=fdve-be1a609c-8148-49f5-b965-3d5ba7d113d1v1\u001B\\\u001B[4;34mtaskId\u001B[0m\u001B]8;;\u001B\\\u001B]8;id=781622;https://tidy3d.simulation.cloud/workbench?taskId=fdve-be1a609c-8148-49f5-b965-3d5ba7d113d1v1\u001B\\\u001B[4;34m=\u001B[0m\u001B]8;;\u001B\\\u001B]8;id=194376;https://tidy3d.simulation.cloud/workbench?taskId=fdve-be1a609c-8148-49f5-b965-3d5ba7d113d1v1\u001B\\\u001B[4;34mfdve\u001B[0m\u001B]8;;\u001B\\\u001B]8;id=781622;https://tidy3d.simulation.cloud/workbench?taskId=fdve-be1a609c-8148-49f5-b965-3d5ba7d113d1v1\u001B\\\u001B[4;34m-be1a609c-8148-\u001B[0m\u001B]8;;\u001B\\\n",
       "\u001B[2;36m           \u001B[0m\u001B]8;id=781622;https://tidy3d.simulation.cloud/workbench?taskId=fdve-be1a609c-8148-49f5-b965-3d5ba7d113d1v1\u001B\\\u001B[4;34m49f5-b965-3d5ba7d113d1v1'\u001B[0m\u001B]8;;\u001B\\\u001B[4;34m.\u001B[0m                                           \n"
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       "Output()"
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     "metadata": {},
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    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">[11:09:45] </span>loading SimulationData from simulation_data.hdf5                     \n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001B[2;36m[11:09:45]\u001B[0m\u001B[2;36m \u001B[0mloading SimulationData from simulation_data.hdf5                     \n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sim_data_final = web.run(sim_final, task_name=\"inv_des_final\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6840c1ae-bd2a-470f-9875-cb05759d2df5",
   "metadata": {},
   "source": [
    "We notice that the behavior is as expected and the device performs exactly how we intended!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "0a28c766-f877-4760-a0f5-ba7851d1759a",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x220 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "f, (ax0, ax1, ax2) = plt.subplots(1, 3, figsize=(10, 2.2), tight_layout=True)\n",
    "sim_final.plot_eps(z=0.01, ax=ax0)\n",
    "ax1 = sim_data_final.plot_field(\"field_mnt\", \"Ez\", z=0, ax=ax1)\n",
    "ax2 = sim_data_final.plot_field(\"field_mnt\", \"E\", \"abs^2\", z=0, ax=ax2)\n"
   ]
  }
 ],
 "metadata": {
  "description": "This notebook demonstrates how to perform inverse design optimization of an optical mode converter in Tidy3D FDTD.",
  "feature_image": "",
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "keywords": "inverse design, adjoint optimization, optical mode converter, Tidy3D, FDTD",
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.12"
  },
  "nbdime-conflicts": {
   "local_diff": [
    {
     "diff": [
      {
       "diff": [
        {
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         "length": 1,
         "op": "removerange"
        }
       ],
       "key": "version",
       "op": "patch"
      }
     ],
     "key": "language_info",
     "op": "patch"
    }
   ],
   "remote_diff": [
    {
     "diff": [
      {
       "diff": [
        {
         "diff": [
          {
           "key": 5,
           "op": "addrange",
           "valuelist": "9"
          },
          {
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    }
   ]
  },
  "title": "Inverse Design of a Mode Converter | Flexcompute",
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