Numerical solution of the Schrödinger equation by neural network and genetic algorithm

DOI10.1016/S0010-4655(01)00286-7zbMath0990.65088WikidataQ126351310 ScholiaQ126351310MaRDI QIDQ5953496

No author found.

Publication date: 24 January 2002

Published in: Computer Physics Communications (Search for Journal in Brave)

zbMATH Keywords

wavefunctionconvergenceHamiltonianparallel computationSchrödinger equationgenetic algorithmharmonic oscillatorartificial neural networkrandom point evaluation method

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Particular ordinary differential operators (Dirac, one-dimensional Schrödinger, etc.) (34L40) Neural networks for/in biological studies, artificial life and related topics (92B20) Stability and convergence of numerical methods for ordinary differential equations (65L20) Parallel numerical computation (65Y05) Numerical methods for Hamiltonian systems including symplectic integrators (65P10) Discretization methods and integrators (symplectic, variational, geometric, etc.) for dynamical systems (37M15) Numerical solution of eigenvalue problems involving ordinary differential equations (65L15)

Related Items (2)

Cornell potential: a neural network approach ⋮ Analytical derivatives of neural networks

Cites Work

• Unnamed Item
• Unnamed Item

This page was built for publication: Numerical solution of the Schrödinger equation by neural network and genetic algorithm