{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "93065d0a-b47a-464c-b51b-1b9705b0fe5a",
   "metadata": {},
   "source": [
    "# Inverse design quickstart - level 1\n",
    "\n",
    "This notebook will get users up and running with a very simple [inverse design optimization](https://www.flexcompute.com/tidy3d/inverse-design/) with `tidy3d`. Inverse design uses the **adjoint method** to compute gradients of a figure of merit with respect to design parameters using only 2 simulations, no matter how many design parameters are present. This gradient is then used to do high-dimensional gradient-based optimization of the system.\n",
    "\n",
    "The setup we'll demonstrate here involves a point dipole source and a point field monitor on either side of a dielectric box. We use gradient-based optimization to maximize the intensity enhancement at the measurement spot with respect to the box size in all 3 dimensions.\n",
    "\n",
    "<img src=\"img/Adjoint_Quickstart.png\" width=\"300\" alt=\"Schematic of the design problem.\">\n",
    "\n",
    "For more advanced inverse design examples and tutorial notebooks, check out\n",
    "\n",
    "* [Tidy3D Autograd Tutorial](https://www.flexcompute.com/tidy3d/examples/notebooks/Autograd1Intro/).\n",
    "\n",
    "* [Topology Optimization](https://www.flexcompute.com/tidy3d/examples/notebooks/Autograd3InverseDesign/).\n",
    "\n",
    "* [Shape Optimization](https://www.flexcompute.com/tidy3d/examples/notebooks/Autograd5BoundaryGradients/).\n",
    "\n",
    "* [Grating Coupler Inverse Design](https://www.flexcompute.com/tidy3d/examples/notebooks/Autograd6GratingCoupler/).\n",
    "\n",
    "To see all Tidy3D [examples](https://www.flexcompute.com/tidy3d/learning-center/example-library/) and [tutorials](https://www.flexcompute.com/tidy3d/learning-center/tidy3d-python/), as well as other learning materials, please visit our [Learning Center](https://www.flexcompute.com/tidy3d/learning-center/).\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "19017d86-5994-4740-8913-a76f4a994a2d",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "import autograd as ag\n",
    "import autograd.numpy as anp\n",
    "import tidy3d as td\n",
    "from tidy3d.web import run"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "67681d28-94dd-4bad-a97d-8f741e3e1852",
   "metadata": {},
   "source": [
    "First, we define a function to create a Tidy3D [Simulation](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.Simulation.html) given the size of the dielectric [Box](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.Box.html). We create a [PointDipole](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.PointDipole.html) source as excitation and a [FieldMonitor](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.FieldMonitor.html) to measure the field distribution. Later we will extract the field intensity at a point and use that as the objective function for the optimization."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "98e99e56-9ade-441f-8128-e94e1eaf538e",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "def make_sim(size_box: float) -> td.Simulation:\n",
    "    \"\"\"Create a tidy3d simulation given a box size.\"\"\"\n",
    "\n",
    "    # create a dipole source on the left side of the simulation\n",
    "    source = td.PointDipole(\n",
    "        center=(-6, 0, 0),  # position of the dipole\n",
    "        source_time=td.GaussianPulse(freq0=td.C_0 / 1.55, fwidth=0.1 * td.C_0 / 1.55),\n",
    "        polarization=\"Ez\",\n",
    "    )\n",
    "\n",
    "    # create a monitor on the right side of the simulation to measure field intensity\n",
    "    monitor = td.FieldMonitor(\n",
    "        size=(td.inf, td.inf, 0.0),\n",
    "        freqs=[td.C_0 / 1.55],\n",
    "        name=\"field\",\n",
    "    )\n",
    "\n",
    "    # create a box with the given size\n",
    "    box = td.Structure(\n",
    "        geometry=td.Box(center=(0, 0, 0), size=(size_box, size_box, size_box)),\n",
    "        medium=td.Medium(permittivity=2),\n",
    "    )\n",
    "\n",
    "    # create the simulation\n",
    "    sim = td.Simulation(\n",
    "        size=(16, 16, 16),\n",
    "        grid_spec=td.GridSpec.auto(min_steps_per_wvl=20),\n",
    "        structures=[box],\n",
    "        sources=[source],\n",
    "        monitors=[monitor],\n",
    "        run_time=5e-13,\n",
    "    )\n",
    "\n",
    "    return sim"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f9de2970-f755-48cb-8bb2-33eb50c8741f",
   "metadata": {},
   "source": [
    "## Define Objective Function\n",
    "\n",
    "The crucial step in inverse design is to define the objective function. Now we can construct our objective function, which is simply the intensity at the measurement point $(x=6, y=0)$ as a function of the box size."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "84f53e4a-fb12-4a69-9639-bd1e02ab61bb",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "def objective_fn(size_box: float) -> float:\n",
    "    \"\"\"Calculate the intensity at the monitor position given a box size.\"\"\"\n",
    "\n",
    "    # create and run the simulation through the tidy3d web API\n",
    "    sim_data = run(simulation=make_sim(size_box), task_name=\"adjoint_quickstart\", verbose=False)\n",
    "\n",
    "    # evaluate the intensity at the measurement position\n",
    "    intensity = anp.sum(\n",
    "        sim_data.get_intensity(\"field\").sel(x=6, y=0, method=\"nearest\").values\n",
    "    )  # extract intensity at x=6 and y=0\n",
    "\n",
    "    return intensity"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "edb2d3c1-6065-4b77-a525-cfbe1d19cacc",
   "metadata": {},
   "source": [
    "## Optimization Loop\n",
    "\n",
    "Next, we use `autograd` to construct a function that returns the gradient of our objective function and use this to run our gradient-based optimization in a for loop."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "11a25a43-795c-4202-b9e5-dcad237625c1",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Iteration = 1\n",
      "\tsize_box = 2.68\n",
      "\tintensity = 861\n",
      "Iteration = 2\n",
      "\tsize_box = 2.89\n",
      "\tintensity = 1068\n",
      "Iteration = 3\n",
      "\tsize_box = 3.07\n",
      "\tintensity = 1258\n",
      "Iteration = 4\n",
      "\tsize_box = 3.25\n",
      "\tintensity = 1402\n",
      "Iteration = 5\n",
      "\tsize_box = 3.72\n",
      "\tintensity = 1703\n",
      "Iteration = 6\n",
      "\tsize_box = 3.90\n",
      "\tintensity = 2233\n",
      "Iteration = 7\n",
      "\tsize_box = 4.08\n",
      "\tintensity = 2432\n"
     ]
    }
   ],
   "source": [
    "# use autograd to get a function that returns the objective function and its gradient\n",
    "val_and_grad_fn = ag.value_and_grad(objective_fn)\n",
    "\n",
    "size_box = 2.5  # initial box size\n",
    "\n",
    "# we will run the optimization for 7 iterations\n",
    "for i in range(7):\n",
    "    # compute gradient and current objective function value\n",
    "    value, gradient = val_and_grad_fn(size_box)\n",
    "\n",
    "    # update the parameter with the gradient and a learning rate of 2e-4\n",
    "    size_box = size_box + gradient * 2e-4\n",
    "\n",
    "    print(f\"Iteration = {i + 1}\\n\\tsize_box = {size_box:.2f}\\n\\tintensity = {value:.0f}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2861c771-273e-430b-8b9e-e52b23cad769",
   "metadata": {},
   "source": [
    "## Analysis\n",
    "\n",
    "After the optimization, the final field distribution is plotted. We denote the source position with a green dot and the measurement position with an orange dot. The orange dot is near a field hotspot as a result of the optimization."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "e48e1432-a162-46eb-9776-8100de2d7848",
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data_final = run(simulation=make_sim(size_box), task_name=\"final_result\", verbose=False)\n",
    "\n",
    "# plot intensity distribution\n",
    "ax = data_final.plot_field(field_monitor_name=\"field\", field_name=\"E\", val=\"abs^2\", vmax=2400)\n",
    "\n",
    "ax.plot(-6, 0, marker=\"o\", mfc=\"limegreen\", mec=\"black\", ms=10)\n",
    "ax.plot(6, 0, marker=\"o\", mfc=\"orange\", mec=\"black\", ms=10);"
   ]
  }
 ],
 "metadata": {
  "description": "This notebook demonstrates how to start a basic inverse design in Tidy3D FDTD.",
  "feature_image": "",
  "kernelspec": {
   "display_name": ".venv",
   "language": "python",
   "name": "python3"
  },
  "keywords": "inverse design, adjoint optimization, 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": "3.11.10"
  },
  "title": "Inverse Design Quickstart in Tidy3D | Flexcompute"
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
