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Approximating Ground State Energies and Wave Functions of Physical Systems with Neural Networks
[article]
2020
arXiv
pre-print
Quantum theory has been remarkably successful in providing an understanding of physical systems at foundational scales. Solving the Schr\"odinger equation provides full knowledge of all dynamical quantities of the physical system. However closed form solutions to this equation are only available for a few systems and approximation methods are typically used to find solutions. In this paper we address the problem of solving the time independent Schr\"odinger equation for the ground state
arXiv:2011.10694v1
fatcat:nmi2yaq6irebdjqtjaob73yuoa