{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Welcome to AI for Science Bootcamp using SimNet\n",
    "\n",
    "The objective of this bootcamp is to provide fundamental difference between Data driven and Physics Driven approach  to using Artificial Intelligence (AI) algorithms in Science ( High Performance Computing(HPC) Simulations ). \n",
    "\n",
    "This bootcamp will introduce participants to Physics Informed Neural Network ( PINN ) with help of Nvidia toolkit SimNet.\n",
    "\n",
    "1. [Introduction](jupyter_notebook/introduction/Introductory_Notebook.ipynb) : In this notebook we will see the advantages of Physics Informed modeling over data-driven modeling and will also outline the brief theory about Physics Informed Neural Networks (PINNs).\n",
    "\n",
    "2. [Solving PDEs using PINNs](jupyter_notebook/diffusion_1d/Diffusion_Problem_Notebook.ipynb)  : This notebook give you a headstart in solving your own Partial Differential Equations (PDEs) using neural networks. You will also see how to solve parameterized PDEs. \n",
    "\n",
    "3. [Solving transient problems and inverse problems](jupyter_notebook/spring_mass/Spring_Mass_Problem_Notebook.ipynb) : In this tutorial we will see how to solve the transient problems over small time intervals easily by treating time as a continuous variable. We will also cover how to solve inverse problems. \n",
    "\n",
    "4. [Challenge](jupyter_notebook/chip_2d/Challenge_CFD_Problem_Notebook.ipynb) : A small exercise to solve  a fluid mechanics problem involving solution to the Navier Stokes equations.\n",
    "\n"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}