Numerical solution of the Schrodinger equation by feed-forward neural networks

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dc.contributor.authorSAFOORA ASFA
dc.date.accessioned2025-11-17T12:53:40Z
dc.date.available2025-11-17T12:53:40Z
dc.date.issued2021
dc.description.abstractR ecently, a method has been proposed using Artificial Neural Network (ANN) to solve a boundary value problem, particularly, Schrodinger equation. In order to solve the Schrodinger equation, a trial wave function with many parameters written as a feed forward neural network. A standard back propagation algorithm with momentum term is used to adjust the parameters to find energies and corresponding eigenstates, we studied the infinite square well as an example
dc.identifier.urihttps://escholar.umt.edu.pk/handle/123456789/10143
dc.language.isoen
dc.publisherUMT, Lahore
dc.titleNumerical solution of the Schrodinger equation by feed-forward neural networks
dc.typeThesis
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