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Keitaro Sodeyama
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Liquid electrolyte informatics using an exhaustive search with linear regression
Prediction and optimization of epoxy adhesive strength from a small dataset through ac...
Process parameters and magnetic properties (coercivity, remanence, squareness, maximum...
Machine learning prediction of coordination energies for alkali group elements in batt...
First-principles study of the reconstruction of MgM2O4 (M = Mn, Fe, Co) spinel surface
Atomic and Electronic Structure in MgO–SiO<sub>2</sub>
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3
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Keyword
Machine learning
2
Active learning
1
Bayesian Optimization
1
Cathode
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Coercivity
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Language
English
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Publisher
Royal Society of Chemistry
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National Institute for Materials Science
1
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Article
3
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3
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open
6
Rights Statement Sim
Creative Commons BY Attribution 4.0 International
4
Creative Commons BY-NC Attribution-NonCommercial 4.0 International
1
MIT License
1
Computational methods
density functional theory or electronic structure
1
machine learning
1
Data origin
simulations
2
experiments
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Properties addressed
magnetic -- coercivity
1
Synthesis and processing
forming -- extrusion
1
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other
1
Material/Specimen
Anisotropic permanent magnets fabricated by hot extrusion using a commercial Nd14Fe76Co3.4B6Ga0.6 (at%) powder (MQU-F™)
1
organic solvents
1
Date
2019
1
Author
IGARASHI, Yasuhiko
2
Keitaro Sodeyama
2
Lambard, Guillaume
2
NAKAYAMA, Tomofumi
2
OKADA, Masato
2
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Operator
PRYTULIAK, Anastasiia
1
TOYOOKA, Yoshiya
1
License
https://creativecommons.org/licenses/by/4.0/
2
Instrument manufacturer
Tamakawa Co., Ltd
1
Zeiss
1
Instrument model number
Crossbeam 1540 EsB FIB/SEM
1
TM-BH25-C1
1
Funder
Japan Society for the Promotion of Science
1
Journal
Physical Chemistry Chemical Physics
2
Science and Technology of Advanced Materials
1
The Journal of Physical Chemistry A
1