Physics-informed neural networks for solving saddle-point equations in strong-field physics with tailored fields
Poster presentation, International Conference on Attosecond and Free-Electron Laser Science (Atto-FEL 2026), University College London, London, UK
Poster presentation on a physics-informed neural-network framework for solving complex-time saddle-point equations in strong-field physics with tailored laser fields.