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Accelerating computational discovery of porous solids through improved navigation of energy-structure-function maps.

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Title: Accelerating computational discovery of porous solids through improved navigation of energy-structure-function maps.
Authors: Pyzer-Knapp EO; IBM Research Europe, Hartree Centre, Sci-Tech Daresbury, Warrington, UK. epyzerk3@uk.ibm.com., Chen L; Leverhulme Research Centre for Functional Materials Design, Department of Chemistry and Materials Innovation Factory, University of Liverpool, Liverpool, UK., Day GM; School of Chemistry, University of Southampton, Southampton, UK., Cooper AI; Leverhulme Research Centre for Functional Materials Design, Department of Chemistry and Materials Innovation Factory, University of Liverpool, Liverpool, UK.
Source: Science advances [Sci Adv] 2021 Aug 13; Vol. 7 (33). Date of Electronic Publication: 2021 Aug 13 (Print Publication: 2021).
Publication Type: Journal Article
Journal Info: Publisher: American Association for the Advancement of Science Country of Publication: United States NLM ID: 101653440 Publication Model: Electronic-Print Cited Medium: Internet ISSN: 2375-2548 (Electronic) Linking ISSN: 23752548 NLM ISO Abbreviation: Sci Adv Subsets: MEDLINE; PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="JN" term="%22101653440%22">Science advances</searchLink> [Sci Adv] 2021 Aug 13; Vol. 7 (33). <i>Date of Electronic Publication: </i>2021 Aug 13 (<i>Print Publication: </i>2021).
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        Value: 10.1126/sciadv.abi4763
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              Text: 2021 Aug 13
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