progress

.ipynb_checkpoints/0-introduction-checkpoint.ipynb

@@ -0,0 +1,113 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
+   "source": [
+    "# Simulations in nanophotonics\n",
+    "\n",
+    "Solve Maxwell's equations for *e.g.* effective index, mode profile, transmission, etc. Need to fully simulate, since ray optics approximations break down when dimensions are order wavelength."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
+   "source": [
+    "# What are your options?\n",
+    "\n",
+    "## Commercial\n",
+    "\n",
+    "Some I've used, but there are a lot more :\n",
+    "[Lumerical](https://www.lumerical.com/), [Synopsys](https://www.synopsys.com/photonic-solutions.html), [PhotonDesign](https://www.photond.com/products.htm). These may be easier to use in a \"production\" environment, and have more support.\n",
+    "\n",
+    "## Why MEEP/MPB (open-source)?\n",
+    "\n",
+    "* Free!\n",
+    "* Flexible. Good for research.\n",
+    "* Transparent. Good for teaching.\n",
+    "* Widely-used\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "slide"
+    }
+   },
+   "source": [
+    " # What is PyMEEP?\n",
+    "\n",
+    "It is the Python wrapper to MEEP and MPB. These tools can also be used from a Scheme interface. \n",
+    "\n",
+    "* **MPB : MIT Periodic Bands**\n",
+    "    * \"MPB computes definite-frequency eigenstates, or harmonic modes, of Maxwell's equations in periodic dielectric structures for arbitrary wavevectors, using fully-vectorial and three-dimensional methods. It is applicable to many problems in optics, such as waveguides and resonator systems, and photonic crystals. [1]\n",
+    "    \n",
+    "\n",
+    "* **MEEP : MIT Electromagnetic Equation Propagation**\n",
+    "    * \"A time-domain electromagnetic simulation simply evolves Maxwell's equations over time within some finite computational volume, essentially performing a kind of numerical experiment. This can be used to calculate a wide variety of useful quantities. Major applications include:\n",
+    "        * Transmittance and Reflectance Spectra — by Fourier-transforming the response to a short pulse, a single simulation can yield the scattering amplitudes over a broadband spectrum.\n",
+    "        * Resonant Modes and Frequencies — by analyzing the response of the system to a short pulse, one can extract the frequencies, decay rates, and field patterns of the harmonic modes of lossy and lossless systems including waveguide and cavity modes.\n",
+    "        * Field Patterns (e.g. Green's functions) — in response to an arbitrary source via a continuous-wave (CW) input (fixed-ω).\"\n",
+    "    \n",
+    "    Meep's scriptable interface makes it possible to combine many sorts of computations along with multi-parameter optimization in sequence or in parallel.\" [2]\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Introduction to the Python interface\n",
+    "\n",
+    "Mostly follow Python syntax for objects, functions, etc."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# References\n",
+    "\n",
+    "1. https://mpb.readthedocs.io/en/latest/\n",
+    "2. https://meep.readthedocs.io/en/latest/\n",
+    "3. http://www.simpetus.com/projects.html"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "PyMeep",
+   "language": "python",
+   "name": "pymeep"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}

.ipynb_checkpoints/2-MPB_simulation-checkpoint.ipynb

@@ -0,0 +1,6 @@
+{
+ "cells": [],
+ "metadata": {},
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

.ipynb_checkpoints/3-MEEP_simulation-checkpoint.ipynb

@@ -0,0 +1,6 @@
+{
+ "cells": [],
+ "metadata": {},
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

.ipynb_checkpoints/4-MEEP_S_parameters-checkpoint.ipynb

@@ -0,0 +1,6 @@
+{
+ "cells": [],
+ "metadata": {},
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

.ipynb_checkpoints/5-complex_geometries-checkpoint.ipynb

@@ -0,0 +1,6 @@
+{
+ "cells": [],
+ "metadata": {},
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

.ipynb_checkpoints/6-shell_simulations-checkpoint.ipynb

@@ -0,0 +1,6 @@
+{
+ "cells": [],
+ "metadata": {},
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

.ipynb_checkpoints/Untitled-checkpoint.ipynb

@@ -0,0 +1,6 @@
+{
+ "cells": [],
+ "metadata": {},
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

0-introduction.ipynb

@@ -67,7 +67,16 @@
    "source": [
     "# Introduction to the Python interface\n",
     "\n",
-    "Mostly follow Python syntax for objects, functions, etc."
+    "Mostly follow Python syntax for objects, functions, etc.\n",
+    "\n",
+    "\n",
+    "\n",
+    "Image rom https://www.w3schools.com/python/python_classes.asp\n",
+    "\n",
+    "### Neat Notebook tricks\n",
+    "\n",
+    "* Autocomplete/suggest : press tab\n",
+    "* Cell magics : %%capture to suppress or capture output, etc."
    ]
   },
   {
@@ -76,9 +85,15 @@
    "source": [
     "# References\n",
     "\n",
+    "Most of the following is extracted from the Python User Interface and Tutorial pages of :\n",
+    "\n",
     "1. https://mpb.readthedocs.io/en/latest/\n",
     "2. https://meep.readthedocs.io/en/latest/\n",
-    "3. http://www.simpetus.com/projects.html"
+    "\n",
+    "The source code (thanks open-source!) itself and examples are also a good source of information :\n",
+    "\n",
+    "3. https://github.com/NanoComp/meep\n",
+    "4. http://www.simpetus.com/projects.html"
    ]
   },
   {