Poster
in
Workshop: Machine Learning and the Physical Sciences
Physics-Informed Neural Networks as Solvers for the Time-Dependent Schrödinger Equation
Karan Shah · Patrick Stiller · Nico Hoffmann · Attila Cangi
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.
Chat is not available.