Develop essential physical sciences skills with expert instruction and practical examples.
DescriptionThis is a introductory course that will prepare you to work with Physics-Informed Neural Networks (PINNs) using NVIDIA Modulus [Physics-Nemo]. 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: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.
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