Competitive Physics Informed Networks - Overcoming Limitations in PDE Solutions

Competitive Physics Informed Networks - Overcoming Limitations in PDE Solutions

Inside Livermore Lab via YouTube Direct link

Summary

12 of 15

12 of 15

Summary

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Classroom Contents

Competitive Physics Informed Networks - Overcoming Limitations in PDE Solutions

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  1. 1 Introduction
  2. 2 History of Neural Networks
  3. 3 Physics Informed Neural Networks
  4. 4 The Problem
  5. 5 Simultaneous Gradient Descent
  6. 6 Linearization
  7. 7 Gradient Descent
  8. 8 Cross Derivatives
  9. 9 Nash Equilibrium
  10. 10 Ablation Study
  11. 11 Stokes Training
  12. 12 Summary
  13. 13 Questions
  14. 14 Forward Pass Computation
  15. 15 Discussion Question

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