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Title
Discovery of high-entropy ceramics via machine learning
Authors
Keywords
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Journal
npj Computational Materials
Volume 6, Issue 1, Pages -
Publisher
Springer Science and Business Media LLC
Online
2020-05-01
DOI
10.1038/s41524-020-0317-6
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- Big data are shaping the future of materials science
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- The high-throughput highway to computational materials design
- (2013) Stefano Curtarolo et al. NATURE MATERIALS
- Commentary: The Materials Project: A materials genome approach to accelerating materials innovation
- (2013) Anubhav Jain et al. APL Materials
- AFLOW: An automatic framework for high-throughput materials discovery
- (2012) Stefano Curtarolo et al. COMPUTATIONAL MATERIALS SCIENCE
- Challenges in Ceramic Science: A Report from the Workshop on Emerging Research Areas in Ceramic Science
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- (2011) O.N. Senkov et al. INTERMETALLICS
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