雑誌 [Research Highlights Vol.45] Artificial Intelligence Learns to Predict Photo-Functional Molecules

International Center for Materials Nanoarchitectonics (WPI-MANA) (National Institute for Materials ScienceROR)

コレクション

Research Highlights

引用
International Center for Materials Nanoarchitectonics (WPI-MANA). [Research Highlights Vol.45] Artificial Intelligence Learns to Predict Photo-Functional Molecules. https://doi.org/10.48505/nims.3785

説明:

(abstract)

Artificial intelligence can be used to design new molecules; it is becoming a popular tool because of its potential for discovering molecules in unexplored chemical spaces, its ability to screen a huge number of potential molecules in a short amount of time and its tendency to find unconventional ways of solving problems. However, whether such molecules can be actually synthesized and whether they display the desired functionalities in the real world is an open question.

権利情報:

キーワード: artificial intelligence, organic molecules, molecule design, density functional theory, photofunctional molecules

刊行年月日: 2018-12-20

出版者: National Institute for Materials Science

掲載誌:

  • MANA E-BULLETIN vol. 45

研究助成金:

原稿種別: 出版者版 (Version of record)

MDR DOI: https://doi.org/10.48505/nims.3785

公開URL: https://www.nims.go.jp/mana/research/highlights/vol45.html

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更新時刻: 2023-12-25 00:30:22 +0900

MDRでの公開時刻: 2022-12-16 14:02:54 +0900

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