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5th Anniversary Article: Data‐Driven Materials Science: Status, Challenges, and Perspectives (Adv. Sci. 21/2019)

Data‐driven science is heralded as the new paradigm in materials science. Data infrastructures store vast amounts of materials data. Machine learning algorithms systematically extract knowledge from materials data streams to discover new materials for future technologies and the well‐being of societ...

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Détails bibliographiques
Publié dans:Adv Sci (Weinh)
Auteurs principaux: Himanen, Lauri, Geurts, Amber, Foster, Adam Stuart, Rinke, Patrick
Format: Artigo
Langue:Inglês
Publié: John Wiley and Sons Inc. 2019
Sujets:
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC6839620/
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/advs.201970125
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