PINNs Using NVIDIA Modulus

Published 2/2024
Created by Dr.Mohammad Samara
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 49 Lectures ( 9h 7m ) | Size: 11.7 GB

Simulations with AI

What you’ll learn:
Build PINNs based pdes solver.
Understand the Theory behind PINNs PDEs solvers.
Build models using NVIDIA Modulus
Deploy NVIDIA Modulus useing GoogleColab and your own NVIDIA GPU

Requirements:
High School Math
Basic Python knowledge

Description:
DescriptionThis is a introductory course that will prepare you to work with Physics-Informed Neural Networks (PINNs) using NVIDIA Modulus. We will cover the fundamentals of Solving partial differential equations (PDEs) using Physics-Informed Neural Networks (PINNs) from its basics and March towards solving PINNs with Nvidia modulus.What skills will you Learn:In this course, you will learn the following skills:Understand the Math behind solving partial differential equations (PDEs) with PINNs.Write and build Machine Learning Algorithms to solve PINNs using Pytorch.Write and build Machine Learning Algorithms to solve PINNs using Nvidia Modulus.Postprocess the results.Use opensource libraries.Define your own PDEs to solve them or use built in equations (such as the N.S equations in Nvidia Modulus).We will cover:Basics of Pytorch.How to deploy Nvidia Modulus on your own computer GPU and in Google Collab.Physics-Informed Neural Networks (PINNs) Solution for 1D Burgers Equation using pytorch.Physics-Informed Neural Networks (PINNs) Solution for  1D wave Equation using Nvidia modulus.Physics-Informed Neural Networks (PINNs) Solution for  cavity flow problem using Nvidia modulus.Physics-Informed Neural Networks (PINNs) Solution for  2D heat sink flow problem using Nvidia modulus.If you do not have prior experience in Machine Learning or Computational Engineering, that’s no problem. This course is complete and concise, covering the fundamentals of Machine Learning/ Physics-Informed Neural Networks (PINNs). Let’s enjoy Learning Nvidia Modulus together.