Physics-Informed Neural Networks as Solvers for the Time-Dependent Schrödinger Equation
Physics-Informed Neural Networks as Solvers for the Time-Dependent Schrödinger Equation
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Ithaca: Cornell University Library, arXiv.org
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English
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Ithaca: Cornell University Library, arXiv.org
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We demonstrate the utility of physics-informed neural networks (PINNs) as solvers for the non-relativistic, time-dependent Schr\"odinger 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.
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Physics-Informed Neural Networks as Solvers for the Time-Dependent Schrödinger Equation
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TN_cdi_proquest_journals_2728314436
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2728314436
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2331-8422
