Machine learning with systematic density-functional theory calculations: Application to melting temperatures of single- and binary-component solids

Physical Review B - Condensed Matter and Materials Physics

Volumn 89, Issue 5, 2014, Pages

  Seko, Atsuto ^a   Maekawa, Tomoya ^a   Tsuda, Koji ^b,c   Tanaka, Isao ^a,d  

^a KYOTO UNIVERSITY   (Japan)

^b JAPAN SCIENCE AND TECHNOLOGY AGENCY   (Japan)

^c NATIONAL INSTITUTE OF ADVANCED INDUSTRIAL SCIENCE AND TECHNOLOGY AIST   (Japan)

^d JAPAN FINE CERAMICS CENTER   (Japan)

Author keywords

64.70.dj; 89.20.Ff

Indexed keywords

EID: 84897608202     PISSN: 10980121     EISSN: 1550235X     Source Type: Journal    
DOI: 10.1103/PhysRevB.89.054303     Document Type: Article

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