Designing ionic materials through multiobjective genetic algorithms

Materials and Manufacturing Processes

Volumn 24, Issue 2, 2009, Pages 162-168

  Sreevathsan, R ^a   Bhattacharya, B ^a   Chakraborti, N ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY   (India)

Author keywords

Born Mayer potential; Coulomb potential; Evolutionary algorithms; Fracture toughness; Genetic algorithms; Inverse problem; Ionic materials; Lightness; Materials design; Multiobjective optimization; Pareto problem; Thermodynamic stability

Indexed keywords

COULOMB BLOCKADE; DESIGN; DYNAMICS; ELECTRIC FIELDS; FRACTURE; GENETIC ALGORITHMS; INVERSE PROBLEMS; IONS; MATERIALS; MOLECULAR DYNAMICS; MULTIOBJECTIVE OPTIMIZATION; SODIUM CHLORIDE; SYSTEM STABILITY; THERMODYNAMIC STABILITY; THERMODYNAMICS;

BORN-MAYER POTENTIAL; COULOMB POTENTIAL; IONIC MATERIALS; LIGHTNESS; MATERIALS DESIGN; PARETO-PROBLEM;

FRACTURE TOUGHNESS;

EID: 61449236426     PISSN: 10426914     EISSN: 15322475     Source Type: Journal    
DOI: 10.1080/10426910802612205     Document Type: Conference Paper

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