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

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

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Research Highlights

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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

Description:

(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.

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Keyword: artificial intelligence, organic molecules, molecule design, density functional theory, photofunctional molecules

Date published: 2018-12-20

Publisher: National Institute for Materials Science

Journal:

  • MANA E-BULLETIN vol. 45

Funding:

Manuscript type: Publisher's version (Version of record)

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

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

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Updated at: 2023-12-25 00:30:22 +0900

Published on MDR: 2022-12-16 14:02:54 +0900

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