MDTS: automatic complex materials design using Monte Carlo tree search

Science and Technology of Advanced Materials

Volumn 18, Issue 1, 2017, Pages 498-503

  M Dieb, Thaer ^a,b   Ju, Shenghong ^b   Yoshizoe, Kazuki ^c   Hou, Zhufeng ^a   Shiomi, Junichiro ^a,b   Tsuda, Koji ^a,b,c  

^a NATIONAL INSTITUTE FOR MATERIALS SCIENCE   (Japan)

^b UNIVERSITY OF TOKYO   (Japan)

^c Disaster Resilience Science Team   (Japan)

Author keywords

Materials design; Materials informatics; Monte Carlo tree search; Python library; Si Ge alloy interfacial structure

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMBINATORIAL OPTIMIZATION; COMPUTER GAMES; GERMANIUM; HIGH LEVEL LANGUAGES; MONTE CARLO METHODS; OPTIMIZATION; SILICON ALLOYS; STRUCTURAL OPTIMIZATION; TREES (MATHEMATICS);

BAYESIAN OPTIMIZATION; COMBINATORIAL OPTIMIZATION PROBLEMS; COMPUTATIONAL COSTS; INTERFACIAL STRUCTURES; MATERIALS DESIGN; MATERIALS INFORMATICS; MONTE-CARLO TREE SEARCHES; USER INTERVENTION;

SI-GE ALLOYS;

EID: 85025091960     PISSN: 14686996     EISSN: 18785514     Source Type: Journal    
DOI: 10.1080/14686996.2017.1344083     Document Type: Article

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