Using neural networks to solve nonlinear differential equations in atomic and molecular physics

International Journal of Quantum Chemistry

Volumn 111, Issue 12, 2011, Pages 2732-2740

  Caetano, C ^a   Reis Jr , J L ^a,b   Amorim, J ^c   Lemes, M Ruv ^d   Pino Jr , A Dal ^a  

^a INSTITUTO TECNOLÓGICO DE AERONÁUTICA   (Brazil)

^b PAULISTA UNIVERSITY   (Brazil)

^c Associacao Brasileira de Informatica   (Brazil)

^d Departamento de Engenharia   (Brazil)

Author keywords

density functional theory; genetic algorithm; neural networks; Schr dinger's equation; Thomas Fermi equation

Indexed keywords

ANALYTICAL RESULTS; ANALYTICAL SOLUTIONS; ARTIFICIAL NEURAL NETWORK; ATOMIC AND MOLECULAR PHYSICS; ELECTRONIC DENSITY; HARMONIC OSCILLATORS; HYDROGEN ATOMS; KOHN-SHAM FORMULATION; LIGHT ATOMS; NONLINEAR DIFFERENTIAL EQUATION; NUMERICAL SOLUTION; SIMPLE SYSTEM; THOMAS-FERMI EQUATION;

ATOMS; DENSITY FUNCTIONAL THEORY; DIFFERENTIAL EQUATIONS; HELIUM; LITHIUM; NONLINEAR EQUATIONS; OSCILLATORS (ELECTRONIC);

NEURAL NETWORKS;

EID: 79957594149     PISSN: 00207608     EISSN: 1097461X     Source Type: Journal    
DOI: 10.1002/qua.22572     Document Type: Article

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