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Digital Discovery
Article . 2024 . Peer-reviewed
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Digital Discovery
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Infoscience - EPFL institutional repository
Article . 2023
Data sources: Infoscience - EPFL institutional repository
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Accelerated chemical science with AI

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 2024 Switzerland English Publisher:Royal Society of Chemistry (RSC)Journal:Digital Discovery, volume 3, pages 23-33 (eissn: 2635-098X, Copyright policy )
Authors: Seoin Back; Alán Aspuru-Guzik; Michele Ceriotti; Ganna Gryn'ova; Bartosz Grzybowski; Geun Ho Gu; Jason Hein; +14 Authors

doi: 10.1039/d3dd00213f

pmid: 38239898

pmc: PMC10793638

handle: 20.500.14299/204958

Accelerated chemical science with AI

Abstract

The ASLLA Symposium focused on accelerating chemical science with AI. Discussions on data, new applications, algorithms, and education were summarized. Recommendations for researchers, educators, and academic bodies were provided.

Country
Switzerland
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Keywords

Technology, Transformer, Design, Machine, Uncertainty, Chemistry, Models, Physical Sciences, Challenges, Experimentation, Visualization

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 51
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Top 1%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
51
Top 1%
Top 10%
Top 1%
Green
gold
Related to Research communities
UArctic