Journal
NATURE PHYSICS
Volume 17, Issue 2, Pages 152-154Publisher
NATURE PORTFOLIO
DOI: 10.1038/s41567-020-01135-6
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Funding
- ERC synergy grant 'HERO' [810451]
- University of Connecticut
- VILLUM FONDEN via the Centre of Excellence for Dirac Materials [11744]
- Knut and Alice Wallenberg Foundation [2019.0068]
- Vetenskapsradet [2017.03997]
- Vinnova [2017-03997] Funding Source: Vinnova
- Swedish Research Council [2017-03997] Funding Source: Swedish Research Council
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The methodology adapted from data science has driven the emergence of materials informatics, with materials databases playing a central role. Utilizing artificial intelligence on these databases enables the prediction of properties of complex organic crystals.
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.
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