Open Access5th Anniversary Article: Data‐Driven Materials Science: Status, Challenges, and Perspectives (Adv. Sci. 21/2019)
Author(s) -
Himanen Lauri,
Geurts Amber,
Foster Adam Stuart,
Rinke Patrick
Publication year - 2019
Publication title -
advanced science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.388
H-Index - 100
ISSN - 2198-3844
DOI - 10.1002/advs.201970125
Subject(s) - data science , state (computer science) , computer science , nanotechnology , materials science , algorithm
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 society. In article number 1900808, Patrick Rinke and co‐worker review the current state of data‐driven materials science.