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This document presents a study on the Factorized Fourier Neural Operator (F-FNO) for simulating 3D elastic wave propagation, addressing the computational challenges associated with traditional numerical methods. The F-FNO is trained on a large dataset of wavefield simulations and demonstrates efficiency and accuracy in predicting surface wavefields based on heterogeneous velocity models. The research highlights the importance of hyperparameters in model performance and explores the model

Author

ahmedumar044

Language

EN