Understanding Anisotropic Eikonal Solution Using Physics Informed Neural Networks
Welcome to our comprehensive guide on Anisotropic Eikonal Solution Using Physics Informed Neural Networks. Talk given at the SEG annual meeting 2020. Link to the paper: https://arxiv.org/abs/2101.11840.
Key Takeaways about Anisotropic Eikonal Solution Using Physics Informed Neural Networks
- This video introduces PINNs, or
- Twin video walking through the math and the code: https://youtu.be/ktzIzmZRPZ8 Request access to the free Colab notebook of ...
- Simone Pezzuto (University of Trento),
- Welcome to 'Inverse Methods in Heat Transfer' course ! Introducing
- Xingzhuo Chen, Graduate Student, Physics and Astronomy “
Detailed Analysis of Anisotropic Eikonal Solution Using Physics Informed Neural Networks
Overview of the talk given at the SEG annual meeting 2020. Talk given at the EAGE online meeting 2020. Link to the paper: ... Speaker: Salvatore Cuomo (Associate Professor at the Department of Mathematics and Applications at the University of Naples ...
PINNs are a modern approach to solving (partial) differential equations (=PDEs)
In summary, understanding Anisotropic Eikonal Solution Using Physics Informed Neural Networks gives us a better perspective.