Neural-Network-Biased Genetic Algorithms for Materials Design: Evolutionary Algorithms That Learn

ACS Combinatorial Science

Volumn 19, Issue 2, 2017, Pages 96-107

  Patra, Tarak K ^a   Meenakshisundaram, Venkatesh ^a   Hung, Jui Hsiang ^a   Simmons, David S ^a  

^a University of Akron   (United States)

Author keywords

compatibilizer; genetic algorithm; Ising model; machine learning; materials design; molecular dynamics simulation; neural network; optimization; polymers; soft matter

Indexed keywords

POLYMER;

ALGORITHM; ARTIFICIAL NEURAL NETWORK; CHEMISTRY; HUMAN; MACHINE LEARNING; MOLECULAR DYNAMICS;

ALGORITHMS; HUMANS; MACHINE LEARNING; MOLECULAR DYNAMICS SIMULATION; NEURAL NETWORKS (COMPUTER); POLYMERS;

EID: 85012244020     PISSN: 21568952     EISSN: 21568944     Source Type: Journal    
DOI: 10.1021/acscombsci.6b00136     Document Type: Article

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