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Institute of Petroleum Geology and Geophysics

Russia

1 paper here32 citations across 1
fields
  • physics.geo-ph1
ROR 00y1dzm96OpenAlex

affiliations via OpenAlex

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
  • A. Duchkov1 · h 14
  • G. Loginov1 · h 5
  • S. Grubas1 · h 3
collaborating institutions
  • Novosibirsk State UniversityRU1 paper

1 paper

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…

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