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On-the-fly machine-learning for high-throughput experiments: search for rare-earth-free permanent magnets

Advanced materials characterization techniques with ever-growing data acquisition speed and storage capabilities represent a challenge in modern materials science, and new procedures to quickly assess and analyze the data are needed. Machine learning approaches are effective in reducing the complexi...

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Hlavní autoři: Kusne, Aaron Gilad, Gao, Tieren, Mehta, Apurva, Ke, Liqin, Nguyen, Manh Cuong, Ho, Kai-Ming, Antropov, Vladimir, Wang, Cai-Zhuang, Kramer, Matthew J., Long, Christian, Takeuchi, Ichiro
Médium: Artigo
Jazyk:Inglês
Vydáno: Nature Publishing Group 2014
Témata:
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC4163667/
https://ncbi.nlm.nih.gov/pubmed/25220062
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/srep06367
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