期刊论文详细信息
Machine learning for molecular and materials science
Review
关键词: COMPUTATIONAL CHEMISTRY;    NEURAL-NETWORKS;    DISCOVERY;    DESIGN;    COMPUTER;   
DOI  :  10.1038/s41586-018-0337-2
来源: SCIE
【 摘 要 】

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.

【 授权许可】

Free   

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