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  Big Data Creates New Opportunities for Materials Research: A Review on Methods and Applications of Machine Learning for Materials Design

Zhou, T., Song, Z., & Sundmacher, K. (2019). Big Data Creates New Opportunities for Materials Research: A Review on Methods and Applications of Machine Learning for Materials Design. Engineering, 5(6), 1017-1026. doi:10.1016/j.eng.2019.02.011.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0004-E9EF-9 Version Permalink: https://hdl.handle.net/21.11116/0000-0005-E4EE-E
Genre: Journal Article

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tengzhou_3169704.pdf (Publisher version), 2MB
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© 2019 THE AUTHORS. Published by Elsevier LTD on behalf of Chinese Academy of Engineering and Higher Education Press Limited Company. his is an open access article under the CC BY-NC-ND license.
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https://creativecommons.org/licenses/by-nc-nd/4.0/

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 Creators:
Zhou, Teng1, Author           
Song, Zhen1, Author           
Sundmacher, Kai1, 2, Author           
Affiliations:
1Process Systems Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738151              
2Otto-von-Guericke-Universität Magdeburg, External Organizations, ou_1738156              

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Language(s): eng - English
 Dates: 2019
 Publication Status: Issued
 Pages: -
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 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1016/j.eng.2019.02.011
Other: pubdata_escidoc:3169704
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Title: Engineering
Source Genre: Journal
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Publ. Info: Elsevier B.V.
Pages: - Volume / Issue: 5 (6) Sequence Number: - Start / End Page: 1017 - 1026 Identifier: -