Student Work

Artificial neural networks for quantum mechanics

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The objective of this project is to solve for the energies and wave functions of quantum systems using an artificial neural network. The artificial neural network is explained and is applied to solve ordinary differential equations and eigenvalue problems. The method of Largaris, Likas and Fotiadis is extended to treat the problem of piecewise-constant potential problems in quantum mechanics.

  • This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.
Creator
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Identifier
  • 02B026M
Advisor
Year
  • 2002
Date created
  • 2002-01-01
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