<P>Here we summarize recent progress in machine learning for the chemical sciences. We outline machine-learning techniques that are suitable for addressing research questions in this domain, as well as future directions for the field. We envisag...
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https://www.riss.kr/link?id=A107472924
2018
-
SCI,SCIE,SCOPUS
학술저널
547-555(9쪽)
0
상세조회0
다운로드다국어 초록 (Multilingual Abstract)
<P>Here we summarize recent progress in machine learning for the chemical sciences. We outline machine-learning techniques that are suitable for addressing research questions in this domain, as well as future directions for the field. We envisag...
<P>Here we summarize recent progress in machine learning for the chemical sciences. We outline machine-learning techniques that are suitable for addressing research questions in this domain, as well as future directions for the field. We envisage a future in which the design, synthesis, characterization and application of molecules and materials is accelerated by artificial intelligence.</P>
El Niño–Southern Oscillation complexity