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Keitaro Sodeyama
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Atomic and Electronic Structure in MgO–SiO<sub>2</sub>
First-principles study of the reconstruction of MgM2O4 (M = Mn, Fe, Co) spinel surface
Prediction and optimization of epoxy adhesive strength from a small dataset through ac...
Process parameters and magnetic properties (coercivity, remanence, squareness, maximum...
Liquid electrolyte informatics using an exhaustive search with linear regression
Machine learning prediction of coordination energies for alkali group elements in batt...
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Type of work
Dataset
3
Publication
3
Keyword
Machine learning
2
Active learning
1
Bayesian Optimization
1
Cathode
1
Coercivity
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Language
English
6
Publisher
Royal Society of Chemistry
2
American Chemical Society (ACS)
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Elsevier
1
National Institute for Materials Science
1
Taylor & Francis
1
Resource type
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
1
Properties addressed
magnetic -- coercivity
1
Synthesis and processing
forming -- extrusion
1
Characterization methods
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