Skip to Content
Toggle navigation
Home
About
Help
Contact
Login
Search MDR
Go
Search Constraints
Start Over
Filtering by:
Creator
Keitaro Sodeyama
Remove constraint Creator: Keitaro Sodeyama
Resource type
Dataset
Remove constraint Resource type: Dataset
1
-
3
of
3
Sort by relevance
relevance
date uploaded ▼
date uploaded ▲
date modified ▼
date modified ▲
Number of results to display per page
10 per page
10
per page
20
per page
50
per page
100
per page
View results as:
List
Gallery
Masonry
Slideshow
Search Results
Machine learning prediction of coordination energies for alkali group elements in battery electrolyte solvents
Description/Abstract:
We combined a data science-driven method with quantum chemistry calculations, and applied it to the battery electrolyte problem. We perfo...
Keyword:
electrolyte
,
battery
, and
quantum chemistry
Resource Type:
Dataset
Data origin:
simulations
Author:
ISHIKAWA, Atsushi
,
SODEYAMA, Keitaro
,
IGARASHI, Yasuhiko
,
NAKAYAMA, Tomofumi
,
TATEYAMA, Yoshitaka
, and
OKADA, Masato
Journal:
Physical Chemistry Chemical Physics
Date Uploaded:
24/09/2021
Date Modified:
01/10/2021
Process parameters and magnetic properties (coercivity, remanence, squareness, maximum energy product) of data-driven fabrication of Nd-Fe-B anisotropic magnets by direct hot extrusion.
Description/Abstract:
We implemented an active learning pipeline assisted by machine learning and Bayesian optimization (ALMLBO) for predicting magnetic proper...
Keyword:
Active learning
,
Machine learning
,
Bayesian Optimization
,
Nd-Fe-B magnet
,
Hot extrusion
,
Process
,
Coercivity
,
Remanence
,
Squareness
, and
Maximum energy product
Material/Specimen:
Anisotropic permanent magnets fabricated by hot extrusion using a commercial Nd14Fe76Co3.4B6Ga0.6 (at%) powder (MQU-F™)
Resource Type:
Dataset
Data origin:
experiments
Author:
Lambard, Guillaume
,
Sasaki, Taisuke
,
Sodeyama, Keitaro
,
Ohkubo, Tadakatsu
, and
Hono, Kazuhiro
Operator:
PRYTULIAK, Anastasiia
and
TOYOOKA, Yoshiya
Date Uploaded:
11/05/2021
Date Modified:
11/10/2021
Liquid electrolyte informatics using an exhaustive search with linear regression
Description/Abstract:
Exploring new liquid electrolyte materials is a fundamental target for developing new high-performance lithium-ion batteries. In contrast...
Keyword:
Gaussian09
,
Li-ion battery
,
materials informatics
,
molecules
,
organic solvents
, and
quantum chemistry calculations
Material/Specimen:
organic solvents
Resource Type:
Dataset
Data origin:
simulations
Author:
SODEYAMA, Keitaro
,
IGARASHI, Yasuhiko
,
NAKAYAMA, Tomofumi
,
TATEYAMA, Yoshitaka
, and
OKADA, Masato
Journal:
Physical Chemistry Chemical Physics
Date Uploaded:
09/09/2020
Date Modified:
30/06/2021
Toggle facets
Limit your search
Type of work
Dataset
3
Keyword
Active learning
1
Bayesian Optimization
1
Coercivity
1
Gaussian09
1
Hot extrusion
1
more
Keywords
»
Language
English
3
Publisher
Royal Society of Chemistry
2
National Institute for Materials Science
1
Resource type
Dataset
[remove]
3
Visibility
open
3
Rights Statement Sim
Creative Commons BY Attribution 4.0 International
1
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
Author
IGARASHI, Yasuhiko
2
NAKAYAMA, Tomofumi
2
OKADA, Masato
2
SODEYAMA, Keitaro
2
TATEYAMA, Yoshitaka
2
more
Authors
»
Operator
PRYTULIAK, Anastasiia
1
TOYOOKA, Yoshiya
1
License
https://creativecommons.org/licenses/by/4.0/
1
Instrument manufacturer
Tamakawa Co., Ltd
1
Zeiss
1
Instrument model number
Crossbeam 1540 EsB FIB/SEM
1
TM-BH25-C1
1
Journal
Physical Chemistry Chemical Physics
2