most citedNeural Eikonal Solver: improving accuracy of physics-informed neural networks for solving eikonal equation in case of caustics

32 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing physics.geo-phShow all

1 paper · 1 filter

physics.geo-ph2022★ 32 cited

Neural Eikonal Solver: improving accuracy of physics-informed neural networks for solving eikonal equation in case of caustics

Serafim Grubas, Anton Duchkov, Georgy Loginov

The concept of physics-informed neural networks has become a useful tool for solving differential equations due to its flexibility. There are a few approaches using this concept to…