The AI revolution in chemistry is not that far away
File(s)submitted-version.pdf (520.73 KB)
Accepted version
Author(s)
Ballester, Pedro J
Type
Journal Article
Date Issued
2023-12
Date Acceptance
2023-12-01
Citation
Nature, 2023, 624 (7991), pp.252-252
ISSN
0028-0836
Publisher
Nature Research
Start Page
252
End Page
252
Journal / Book Title
Nature
Volume
624
Issue
7991
Copyright Statement
Copyright © 2023 Springer-Verlag. This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. This preprint has not undergone peer review (when applicable) or any post-submission
improvements or corrections. The Version of Record of this article is published in Nature, and is
available online at https://doi.org/10.1038/d41586-023-03948-w
improvements or corrections. The Version of Record of this article is published in Nature, and is
available online at https://doi.org/10.1038/d41586-023-03948-w
Identifier
https://www.ncbi.nlm.nih.gov/pubmed/38086935
Subjects
Chemistry
Machine learning
Publication Status
Published
Coverage Spatial
England
Date Publish Online
2023-12-12