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Volumn 15, Issue 5, 2013, Pages 22-31

Revisiting computational thermodynamics through machine learning of high-dimensional data

Author keywords

bandgap engineering; compound semiconductors; computational thermodynamics; data mining; high dimensional model representation; machine learning; materials informatics

Indexed keywords

BAND GAP ENGINEERING; COMPOUND SEMICONDUCTORS; COMPUTATIONAL THERMODYNAMICS; HIGH-DIMENSIONAL MODEL REPRESENTATIONS; MATERIALS INFORMATICS;

EID: 84890026475     PISSN: 15219615     EISSN: None     Source Type: Journal    
DOI: 10.1109/MCSE.2013.76     Document Type: Article
Times cited : (5)

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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.