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Machine learning
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Automated odor-blending with one-pot Bayesian optimization
Improving efficiency of autonomous material search via transfer learning from nontarge...
Efficient autonomous material search method combining ab initio calculations, autoenco...
Process parameters and magnetic properties (coercivity, remanence, squareness, maximum...
Prediction and optimization of epoxy adhesive strength from a small dataset through ac...
Machine Learning-Based Experimental Design in Materials Science
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Keyword
Machine learning
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Active learning
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Bayesian Optimization
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English
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Publisher
National Institute for Materials Science
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Informa UK Limited
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Article
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Creative Commons BY Attribution 4.0 International
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machine learning
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experiments
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Properties addressed
magnetic -- coercivity
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forming -- extrusion
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Material/Specimen
Anisotropic permanent magnets fabricated by hot extrusion using a commercial Nd14Fe76Co3.4B6Ga0.6 (at%) powder (MQU-F™)
1
Date
2018
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2019
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Author
Lambard, Guillaume
2
Sodeyama, Keitaro
2
Yuma Iwasaki
2
Dieb, Thaer M.
1
Genki Yoshikawa
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PRYTULIAK, Anastasiia
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TOYOOKA, Yoshiya
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https://creativecommons.org/licenses/by/4.0/
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Instrument manufacturer
Tamakawa Co., Ltd
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Zeiss
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Instrument model number
Crossbeam 1540 EsB FIB/SEM
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TM-BH25-C1
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Funder
Japan Society for the Promotion of Science
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Journal
Digital Discovery
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Nanoinformatics
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Science and Technology of Advanced Materials
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Science and Technology of Advanced Materials: Methods
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