Publikationsrepositorium - Helmholtz-Zentrum Dresden-Rossendorf

1 Publikation

Physics-Informed Neural Networks as Solvers for the Time-Dependent Schrödinger Equation

Shah, K.; Stiller, P.; Hoffmann, N.; Cangi, A.

Abstract

We demonstrate the utility of physics-informed neural networks (PINNs) as solvers for the non-relativistic, time-dependent Schrödinger equation. We study the performance and generalisability of PINN solvers on the time evolution of a quantum harmonic oscillator across varying system parameters, domains, and energy states.

Keywords: physics-informed neural networks; machine learning; Schrödinger equation

Permalink: https://www.hzdr.de/publications/Publ-35353