Publikationsrepositorium - Helmholtz-Zentrum Dresden-Rossendorf
1 PublikationPhysics-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
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WWW-Beitrag
https://arxiv.org/abs/2210.12522
DOI: 10.48550/arXiv.2210.12522
Permalink: https://www.hzdr.de/publications/Publ-35353