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sgrubas committed Aug 3, 2024
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Expand Up @@ -56,7 +56,7 @@ Isochrones of solutions. RMAE is shown above each figure. The NES solutions are
<img src="https://github.com/sgrubas/NES/blob/main/NES/data/NES_OP_Layered_0.33.png" alt="0.33%" width="400"/> <img src="https://github.com/sgrubas/NES/blob/main/NES/data/NES_OP_LayeredBoxGauss_0.34.png" alt="0.34%" width="400"/>

# Citation
If you find NES useful for your research, please cite our paper:
If you find NES useful for your research, please cite our paper and this repo:
```
@article{grubas2023NES,
title = {Neural Eikonal solver: Improving accuracy of physics-informed neural networks for solving eikonal equation in case of caustics},
Expand All @@ -70,6 +70,15 @@ url = {https://www.sciencedirect.com/science/article/pii/S002199912200852X},
author = {Serafim Grubas and Anton Duchkov and Georgy Loginov},
keywords = {Physics-informed neural network, Eikonal equation, Seismic, Traveltimes, Caustics}
}
@article{grubas2023NESpython,
title = {Neural Eikonal Solver},
journal = {GitHub},
url = {https://github.com/sgrubas/NES},
doi = {10.5281/zenodo.12588346},
year = {2023},
author = {Serafim Grubas and Anton Duchkov and Georgy Loginov}
}
```

# Future plans
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