Physics-informed neural networks for solving saddle-point equations in strong-field physics with tailored fields
Published in Physical Review Research (accepted), 2026
An unsupervised physics-informed neural-network framework for complex-time saddle-point equations in strong-field physics.
Recommended citation: Jiakang Chen, Sufia Hashim, and Carla Figueira de Morisson Faria. (2026). "Physics-informed neural networks for solving saddle-point equations in strong-field physics with tailored fields." Physical Review Research (accepted).
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