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[19a-A25-4]Simulation of the Time-Dependent Schrödinger Equation Using a Physics-Informed Neural Network

Reo Yabiku1, Yuki Orimo1, Takeshi Sato1, 〇Kenichi Ishikawa1 (1.UTokyo)
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Keywords:

attosecond science,first-principles calculation,physics-informed neural network

The time-dependent Schrödinger equation for a 1D model hydrogen atom in an intense laser pulse is simulated using Physics-Informed Neural Network (PINN). The PINN simulation results well describe the ionization behavior of the atom and are in good agreement with those obtained by the finite difference method, especially up to a distance of about 30 atomic units from the nucleus.

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