Chemically intuited, large-scale screening of MOFs by machine learning techniques (vol 3, 2017)

被引：2
|
作者：
Borboudakis, Giorgos [1 ,2 ]
Stergiannakos, Taxiarchis [3 ]
Frysali, Maria [3 ]
Klontzas, Emmanuel [3 ]
Tsamardinos, Ioannis [1 ,2 ,4 ]
Froudakis, George E. [3 ]
机构：
[1] Univ Crete, Dept Comp Sci, Voutes Campus, GR-70013 Iraklion, Crete, Greece
[2] Gnosis Data Anal PC, Palaiokapa 65, Iraklion 71305, Greece
[3] Univ Crete, Dept Chem, Voutes Campus, GR-70013 Iraklion, Crete, Greece
[4] Univ Huddersfield, Sch Comp & Engn, Huddersfield HD1 3DH, Heraklion, England
来源：
NPJ COMPUTATIONAL MATERIALS | 2017年 / 3卷
关键词：
D O I：
10.1038/s41524-017-0051-x
中图分类号：
O64 [物理化学（理论化学）、化学物理学];
学科分类号：
070304 ; 081704 ;
摘要：
A correction to this article has been published and is linked from the HTML version of this article.
引用
收藏
页数：1
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