Publikationsrepositorium - Helmholtz-Zentrum Dresden-Rossendorf

We demonstrate the utility of Physics Informed Neural Network based solvers for the solution of Time-Dependent Schrödinger Equation. We study the performance and generalisability of PINN solvers on a simple quantum system. The method developed here can be potentially extended as a surrogate model for the Time-Dependent Density Functional Theory workflow, enabling the simulation of large-scale calculations of electron dynamics in matter exposed to strong electromagnetic fields, high temperatures and pressures.