Multi-objective materials design by genetic algorithms-generalized for B1 and B2 ionic structures

Journal of Computational and Theoretical Nanoscience

Volumn 6, Issue 4, 2009, Pages 849-856

  Sreevathsan, R ^a   Bhattacharya, B ^a   Kumar, G Dinesh ^a   Chakraborti, N ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY   (India)

Author keywords

Born mayer potential; Coulomb potential; Density; Electronegativity; Energy; Fracture toughness; Genetic algorithms; Ionic materials; Materials design; Molecular dynamics; Multi objective optimization

Indexed keywords

BORN-MAYER POTENTIAL; COULOMB POTENTIAL; DENSITY; ENERGY; IONIC MATERIALS; MATERIALS DESIGN;

CHEMICAL BONDS; COULOMB BLOCKADE; DESIGN; DYNAMICS; ELECTRIC FIELDS; ELECTRONEGATIVITY; FRACTURE; FRACTURE TOUGHNESS; GENETIC ALGORITHMS; MATERIALS; MOLECULAR DYNAMICS;

MULTIOBJECTIVE OPTIMIZATION;

EID: 66249139869     PISSN: 15461955     EISSN: None     Source Type: Journal    
DOI: 10.1166/jctn.2009.1117     Document Type: Article

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