Udemy – NVIDIA Modulus: Advanced Topics 2024-4
Udemy – NVIDIA Modulus: Advanced Topics 2024-4 Downloadly IRSpace
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NVIDIA Modulus: Advanced Topics, This course is related with Advanced topics related with PINNs using NVIDIA Modulus. 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 Calculation, and Geometric Optimization using PINNs. Understand the Math behind solving partial differential equations (PDEs) with PINNs, I-PINNs, Deep Neural Operator Network for DeepONet, along with FNO, Multi Domain Calculation and finally Geometric Optimization using PINNs. If you do not have prior experience in Machine Learning or Computational Engineering, that’s no problem. However it is recommended to have knowledge in the basics of the use and code running using Nvidia Modulus.
What you’ll learn
- I-PINNs for 2D heat sink flow problem .
- DeepONet for Integration problem.
- Fourier Neural Operator FNO for Darcy problem.
- PINNs for 3D Linear Elasticity Problem.
- PINNs for 3D Fluid/ Solid Multi Domain Calculation.
- PINNs for 3D Geometric Optimization for Heat Exchanger Flow Problem.
Who this course is for
- Engineers and Programmers whom want to Learn PINNs
- learn Advanced Topics NVIDIA Modulus
Specificatoin of NVIDIA Modulus: Advanced Topics
- Publisher : Udemy
- Teacher : Dr.Mohammad Samara
- Language : English
- Level : Intermediate
- Number of Course : 66
- Duration : 10 hours and 5 minutes
Content of NVIDIA Modulus: Advanced Topics
Requirements
- High School Math
- Basic Python knowledge
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Quality: 720p
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File size
12.98 GB
