Use of computational intelligence for the prediction of vacancy migration energies in atomistic kinetic monte carlo simulations

International Journal of Computational Intelligence Systems

Volumn 1, Issue 4, 2008, Pages 340-352

  Castin, Nicolas ^a   Domingos, Roberto Pinheiro ^b   Malerba, Lorenzo ^c  

^a UNIVERSITÉ LIBRE DE BRUXELLES   (Belgium)

^b EUROPEAN CENTRE FOR SOFT COMPUTING   (Spain)

^c BELGIAN NUCLEAR RESEARCH CENTRE   (Belgium)

Author keywords

Cluster expansion; Fuzzy logic; Neural networks; Vacancy migration energy

Indexed keywords

ARTIFICIAL NEURAL NETWORK; ATOMIC CONFIGURATION; ATOMIC LEVELS; CLUSTER EXPANSION; COMPUTATIONAL INTELLIGENCE; DEFECT MIGRATION ENERGIES; KINETIC MONTE CARLO; KINETIC MONTE CARLO SIMULATION; VACANCY MIGRATION;

ARTIFICIAL INTELLIGENCE; COMPUTATIONAL COMPLEXITY; COMPUTER SIMULATION; FUZZY LOGIC; FUZZY SYSTEMS; MONTE CARLO METHODS;

FUZZY NEURAL NETWORKS;

EID: 70249088681     PISSN: 18756891     EISSN: 18756883     Source Type: Journal    
DOI: 10.2991/ijcis.2008.1.4.6     Document Type: Article

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