Description
NVIDIA Modulus: Advanced Topics, Nvidia Modulus Advanced Topics training course is published by Udemy Academy. This course deals with advanced topics related to PINNs using the NVIDIA module. We will cover the topics of inverse PINNs, deep neural operator network with DeepONet, deep neural operator network using Fourier neural operator (FNO), PINN for 3D linear elasticity problem, PINNs for multi-domain computation and geometry optimization using PINNs. gave Understand the mathematics behind solving Partial Differential Equations (PDEs) with PINN, I-PINN, Deep Neural Operator Network for DeepONet, combined with FNO, multi-domain computation and finally geometry optimization using PINNs. If you have no previous experience in machine learning or computational engineering, that’s okay. However, it is recommended that you have some knowledge of how to use and run code using Nvidia Modulus.
What you will learn
- I-PINN for two-dimensional heat sink flow problem.
- DeepONEt for Integration problem.
- Fourier neural operator FNO for the Darcy problem.
- Pins for the 3D linear elasticity problem.
- Pins for multi-domain fluid/solid 3D computation.
- Pins for 3D geometry optimization for heat exchanger flow problem.
Who is this course suitable for?
- Engineers and programmers who want to learn PINs
- NVIDIA module advanced topics tutorial
NVIDIA Modulus: Advanced Topics course specifications
- Publisher: Udemy
- teacher : Dr. Mohammad Samara
- English language
- Education level: Intermediate
- Number of courses: 66
- Training duration: 10 hours and 5 minutes
Chapters of NVIDIA Modulus: Advanced Topics course
Course prerequisites
- High School Math
- Basic Python knowledge
Pictures
Sample video
Installation guide
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download link
File(s) password: www.downloadly.ir
Size
12.98 GB
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