5th Anniversary Article: Data‐Driven Materials Science: Status, Challenges, and Perspectives (Adv. Sci. 21/2019)-Reference-Cited by-同舟云学术

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

Published:2019-11 Issue:21 Volume:6 Page:1970125
ISSN:2198-3844
Container-title:Advanced Science
language:en
Short-container-title:Adv. Sci.

Author:

Himanen Lauri¹,Geurts Amber¹²³,Foster Adam Stuart¹⁴⁵,Rinke Patrick¹⁶

Affiliation:

1. Department of Applied PhysicsAalto University P.O. Box 11100 00076 Aalto,Espoo Finland

2. Department of Management StudiesAalto University P.O. Box 11100 00076 Aalto,Espoo Finland

3. TNO, Netherlands Organization for Applied Scientific ResearchExpertise Center for Strategy and Policy Anna van Beurenplein 1 DA 2595 The Hague Netherlands

4. Graduate School Materials Science in Mainz Staudinger Weg 9 55128 Mainz Germany

5. WPI Nano Life Science Institute (WPI‐NanoLSI)Kanazawa University Kakuma‐machi Kanazawa 920‐1192 Japan

6. Theoretical Chemistry and Catalysis Research CentreTechnische Universität München Lichtenbergstr. 4 D‐85747 Garching Germany

Publisher

Wiley

Subject

General Physics and Astronomy,General Engineering,Biochemistry, Genetics and Molecular Biology (miscellaneous),General Materials Science,General Chemical Engineering,Medicine (miscellaneous)

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/advs.201970125

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1. Learning interpretable descriptors for the fatigue strength of steels;AIP Advances;2021-03-01

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