38 件のレコードが見つかりました。
Extraction of physicochemical laws by symbolic regression using a Bayesian information criterion
- 論文
- 著者
-
Naoki Yamane
;
Kan Hatakeyama-Sato
;
Yuma Iwasaki
;
Yasuhiko Igarashi
- キーワード
- Machine learning
- 刊行年月日
- 2024-12-31
- 更新時刻
- 2024-11-14 16:30:30 +0900
ALMLBO PIPELINE APPROACH APPLY TO MATERIAL PROCESS AND COMPOSITION OPTIMIZATION FOR ENERGY-SAVING APPLICATIONS
- 口頭発表
- 著者
-
Cédric Bourgès
;
Guillaume Lambard
;
Naoki Sato
;
Makoto Tachibana
;
Satoshi Ishii
;
Takao Mori
- キーワード
- Kesterite, Machine learning, Process, Thermoelectric, Ceramic
- 刊行年月日
- 更新時刻
- 2024-10-30 16:30:23 +0900
Data-driven optimization of FePt heat-assisted magnetic recording media accelerated by deep learning TEM image segmentation
- 論文
- 著者
-
N. Kulesh
;
A. Bolyachkin
;
I. Suzuki
;
Y.K. Takahashi
;
H. Sepehri-Amin
;
K. Hono
- キーワード
- Heat-assisted magnetic recording (HAMR), FePt, Deep learning, Machine learning, Image segmentation
- 刊行年月日
- 2023-05-27
- 更新時刻
- 2025-05-27 08:30:20 +0900
Machine Learning Assisted Optimization of SmFe12-based Alloys
- ポスター
- 著者
-
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
- キーワード
- Machine learning, Hard magnetic materials, SmFe12-based alloys
- 刊行年月日
- 更新時刻
- 2024-10-17 08:30:37 +0900
Data-Driven Development of Magnetic Materials
- 口頭発表
- 著者
-
BOLYACHKIN Anton
;
SEPEHRI AMIN Hossein
;
OHKUBO Tadakatsu
- キーワード
- Nd-Fe-B magnets, Magnetocaloric materials, Magnetic recodring, Machine learning
- 刊行年月日
- 更新時刻
- 2024-10-16 16:30:20 +0900
Machine Learning Approach for Evaluation of Nanodefects and Magnetic Anisotropy in FePt Granular Films
- 論文
- 著者
-
E. Dengina
;
A. Bolyachkin
;
H. Sepehri-Amin
;
K. Hono
- キーワード
- Magnetic recording, Micromagnetic simulations, Machine learning, FePt media
- 刊行年月日
- 2022-05-13
- 更新時刻
- 2024-10-15 16:30:13 +0900
Autonomous search for half-metallic materials with B 2 structure
- 論文
- 著者
-
Yuma Iwasaki
;
Ryo Toyama
;
Takahiro Yamazaki
;
Yasuhiko Igarashi
;
Masato Kotsugi
;
Yuya Sakuraba
- キーワード
- Machine learning, Autonomous, ab initio, Half metal
- 刊行年月日
- 2024-12-31
- 更新時刻
- 2024-10-04 08:30:32 +0900
Autonomous search for materials with high Curie temperature using ab initio calculations and machine learning
- 論文
- 著者
-
Yuma Iwasaki
- キーワード
- Machine learning, Autonomous, Curie temperature, ab initio
- 刊行年月日
- 2024-12-31
- 更新時刻
- 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
- 論文
- 著者
-
Izumi Takahara
;
Fumihiko Uesugi
;
Koji Kimoto
;
Kiyou Shibata
;
Teruyasu Mizoguchi
- キーワード
- Machine learning, ELNES, XANES, PDOS
- 刊行年月日
- 2024-08-15
- 更新時刻
- 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
- 論文
- 著者
-
Cédric Bourgès
;
Guillaume Lambard
;
Naoki Sato
;
Makoto Tachibana
;
Satoshi Ishii
;
Takao Mori
- キーワード
- Kesterite, Machine learning, Process, Thermoelectric, Ceramic
- 刊行年月日
- 2024-08-29
- 更新時刻
- 2024-09-20 16:30:30 +0900