See here for longer list of [useful papers] (https://docs.google.com/spreadsheets/d/1NwMOehALXiTOO2UMynRGSOw89H80TtP4BkNbhIS2pdk/edit?usp=sharing) for the Kaggle contest 
1. [Seismic Wave Propagation and Inversion with Neural Operators] (https://pubs.geoscienceworld.org/ssa/tsr/article/1/3/126/609317/Seismic-Wave-Propagation-and-Inversion-with-Neural)
2. [Fourier Neural Operator for Parametric Partial Differential Equations](https://arxiv.org/abs/2010.08895) and [FNO's author, Zongyi Li's personal website for FNO](https://zongyi-li.github.io/blog/2020/fourier-pde/)
3. [Fourier-DeepONet: Fourier-enhanced deep operator networks for full waveform inversion with improved accuracy, generalizability, and robustness ](https://arxiv.org/abs/2305.17289)
4. [Learning to solve the elastic wave equation with Fourier neural operators ](https://pubs.geoscienceworld.org/seg/geophysics/article/88/3/T101/622138/Learning-to-solve-the-elastic-wave-equation-with)
5. [WaveCastNet: An AI-enabled Wavefield Forecasting Framework for Earthquake Early Warning] (https://arxiv.org/abs/2405.20516)