English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Journal Article

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

MPS-Authors
/persons/resource/persons130465

Zhou,  Teng
Process Systems Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

/persons/resource/persons213705

Song,  Zhen
Process Systems Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

/persons/resource/persons86497

Sundmacher,  Kai
Otto-von-Guericke-Universität Magdeburg, External Organizations;
Process Systems Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

External Resource
No external resources are shared
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)

tengzhou_3169704.pdf
(Publisher version), 2MB

Supplementary Material (public)
There is no public supplementary material available
Citation

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.


Cite as: https://hdl.handle.net/21.11116/0000-0004-E9EF-9
Abstract
There is no abstract available