Data‐Driven Materials Science: Status, Challenges, and Perspectives

Data‐Driven Materials Science: Status, Challenges, and Perspectives

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Abstract Data‐driven science is heralded as a new paradigm in materials science. In this field, data is the new resource, and knowledge is extracted from materials datasets that are too big or complex for traditional human reasoning—typically with the intent to discover new or improved materials or...

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Bibliographic Details
Main Authors: Lauri Himanen, Amber Geurts, Adam Stuart Foster, Patrick Rinke
Format: Article
Language:English
Published: Wiley 2019-11-01
Series:Advanced Science
Subjects:
artificial intelligence
databases
data science
machine learning
materials
materials science
Online Access:https://doi.org/10.1002/advs.201900808

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