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Shifting computational boundaries for complex organic materials
Stockholm University, Nordic Institute for Theoretical Physics (Nordita).ORCID iD: 0000-0001-9285-0165
Stockholm University, Nordic Institute for Theoretical Physics (Nordita).ORCID iD: 0000-0002-6688-270x
Stockholm University, Nordic Institute for Theoretical Physics (Nordita). University of Connecticut, USA.ORCID iD: 0000-0001-6510-8870
2021 (English)In: Nature Physics, ISSN 1745-2473, E-ISSN 1745-2481, Vol. 17, no 2, p. 152-154Article in journal (Refereed) Published
Abstract [en]

Methodology adapted from data science sparked the field of materials informatics, and materials databases are at the heart of it. Applying artificial intelligence to these databases will allow the prediction of the properties of complex organic crystals.  

Place, publisher, year, edition, pages
2021. Vol. 17, no 2, p. 152-154
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Condensed Matter Physics
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URN: urn:nbn:se:su:diva-199377DOI: 10.1038/s41567-020-01135-6ISI: 000607333000001Scopus ID: 2-s2.0-85100150984OAI: oai:DiVA.org:su-199377DiVA, id: diva2:1617472
Available from: 2021-12-06 Created: 2021-12-06 Last updated: 2022-08-11Bibliographically approved

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Geilhufe, R. MatthiasOlsthoorn, BartBalatsky, Alexander V.

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