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Machine learning (38)
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Keyword: Machine learning
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38 records found.
Extraction of physicochemical laws by symbolic regression using a Bayesian information criterion
Article
Creator
Naoki Yamane ; Kan Hatakeyama-Sato ;
Yuma Iwasaki
; Yasuhiko Igarashi
Keyword
Machine learning
Date published
2024-12-31
Updated at
2024-11-14 16:30:30 +0900
ALMLBO PIPELINE APPROACH APPLY TO MATERIAL PROCESS AND COMPOSITION OPTIMIZATION FOR ENERGY-SAVING APPLICATIONS
Presentation
Creator
Cédric Bourgès
;
Guillaume Lambard
;
Naoki Sato
;
Makoto Tachibana
;
Satoshi Ishii
;
Takao Mori
Keyword
Kesterite
,
Machine learning
,
Process
,
Thermoelectric
,
Ceramic
Date published
Updated at
2024-10-30 16:30:23 +0900
Data-driven optimization of FePt heat-assisted magnetic recording media accelerated by deep learning TEM image segmentation
Article
Creator
N. Kulesh
;
A. Bolyachkin
;
I. Suzuki
;
Y.K. Takahashi
;
H. Sepehri-Amin
;
K. Hono
Keyword
Heat-assisted magnetic recording (HAMR)
,
FePt
,
Deep learning
,
Machine learning
,
Image segmentation
Date published
2023-05-27
Updated at
2025-05-27 08:30:20 +0900
Machine Learning Assisted Optimization of SmFe12-based Alloys
Poster
Creator
BOLYACHKIN Anton
;
SUBAGJA Toni
; LI Jiangnan ; ZHANG Jiasheng ;
ASHOK KRISHNASWAMY Srinithi
;
ABE Taichi
;
TANG Xin
; TOZMAN KARANIKOLAS Pelin ;
KULESH Nikita
;
SEPEHRI AMIN Hossein
;
OHKUBO Tadakatsu
;
HONO Kazuhiro
Keyword
Machine learning
,
Hard magnetic materials
,
SmFe12-based alloys
Date published
Updated at
2024-10-17 08:30:37 +0900
Data-Driven Development of Magnetic Materials
Presentation
Creator
BOLYACHKIN Anton
;
SEPEHRI AMIN Hossein
;
OHKUBO Tadakatsu
Keyword
Nd-Fe-B magnets
,
Magnetocaloric materials
,
Magnetic recodring
,
Machine learning
Date published
Updated at
2024-10-16 16:30:20 +0900
Machine Learning Approach for Evaluation of Nanodefects and Magnetic Anisotropy in FePt Granular Films
Article
Creator
E. Dengina ;
A. Bolyachkin
;
H. Sepehri-Amin
;
K. Hono
Keyword
Magnetic recording
,
Micromagnetic simulations
,
Machine learning
,
FePt media
Date published
2022-05-13
Updated at
2024-10-15 16:30:13 +0900
Autonomous search for half-metallic materials with
B
2 structure
Article
Creator
Yuma Iwasaki
;
Ryo Toyama
;
Takahiro Yamazaki
;
Yasuhiko Igarashi
;
Masato Kotsugi
;
Yuya Sakuraba
Keyword
Machine learning
,
Autonomous
,
ab initio
,
Half metal
Date published
2024-12-31
Updated at
2024-10-04 08:30:32 +0900
Autonomous search for materials with high Curie temperature using
ab initio
calculations and machine learning
Article
Creator
Yuma Iwasaki
Keyword
Machine learning
,
Autonomous
,
Curie temperature
,
ab initio
Date published
2024-12-31
Updated at
2024-10-04 08:30:28 +0900
Toward the Atomic-Level Analysis of Ground-State Electronic Structures of Solid Materials via Prediction from Core-Loss Spectra: A Computational Study in Si
Article
Creator
Izumi Takahara ;
Fumihiko Uesugi
;
Koji Kimoto
; Kiyou Shibata ; Teruyasu Mizoguchi
Keyword
Machine learning
,
ELNES
,
XANES
,
PDOS
Date published
2024-08-15
Updated at
2024-10-02 12:30:19 +0900
Process optimization on kesterite-based ceramics for enhancing their thermoelectric performances assisted by active machine learning approach: A tool for metal-sulfide ceramics development
Article
Creator
Cédric Bourgès
;
Guillaume Lambard
;
Naoki Sato
;
Makoto Tachibana
;
Satoshi Ishii
;
Takao Mori
Keyword
Kesterite
,
Machine learning
,
Process
,
Thermoelectric
,
Ceramic
Date published
2024-08-29
Updated at
2024-09-20 16:30:30 +0900
Keyword
Machine learning
(38)
Autonomous
(4)
Process
(3)
Anomalous Hall effect
(2)
Bayesian optimization
(2)
Ceramic
(2)
Combinatorial
(2)
Crystal structure
(2)
Ising machine
(2)
Kesterite
(2)
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(2)
ab initio
(2)
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(1)
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(1)
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(1)
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(1)
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(1)
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(1)
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(1)
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(1)
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(1)
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(1)
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(1)
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(1)
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(1)
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(1)
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(1)
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(1)
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(1)
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(1)
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(1)
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(1)
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(1)
data bias
(1)
large-scale material data
(1)
material informatics
(1)
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(1)
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(1)
principal component analysis (PCA)
(1)
reactive magnetron sputtering
(1)
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