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論文(26)
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Machine learning (31)
Autonomous (4)
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ab initio (2)
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ファイル種別: application/pdf
キーワード: Machine learning
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31 件のレコードが見つかりました。
Elemental Reactivity Maps for Materials Discovery
論文
著者
Yuki Inada
;
Masaya Fujioka
; Haruhiko Morito ;
Tohru Sugahara
;
Hisanori Yamane
;
Yukari Katsura
キーワード
Crystal structure
,
Elements
,
Machine learning
,
Materials
,
Reactivity
刊行年月日
2025-03-25
更新時刻
2026-02-21 16:30:08 +0900
Determination of Stable Proton Configurations by Black-Box Optimization Using an Ising Machine
論文
著者
Jianbo Lin ;
Tomofumi Tada
; Ai Koizumi ;
Masato Sumita
;
Koji Tsuda
;
Ryo Tamura
キーワード
Machine learning
,
Ising machine
,
Proton configuration
刊行年月日
2025-02-06
更新時刻
2025-05-23 08:30:18 +0900
Phase-separation induced dislocation-network cellular structures in Ti-Zr-Nb-Mo-Ta high-entropy alloy processed by laser powder bed fusion
論文
著者
Han Chen ; Daisuke Egusa ; Zehao Li ;
Taisuke Sasaki
; Ryosuke Ozasa ; Takuya Ishimoto ; Masayuki Okugawa ; Yuichiro Koizumi ; Takayoshi Nakano ; Eiji Abe
キーワード
High-entropy alloy
,
Laser powder bed fusion
,
Cellular structure
,
Phase separation
,
Dislocation-network
,
Electron microscopy
,
Machine learning
刊行年月日
2025-03-12
更新時刻
2025-04-08 13:16:16 +0900
In Situ Forming Supramolecular Nanofiber Hydrogel as a Biodegradable Liquid Embolic Agent for Postembolization Tissue Remodeling
論文
著者
Akihiro Nishiguchi
; Miho Ohta ;
Debabrata Palai
;
Shima Ito
; Kensaku Mori ; Ryotaro Akagi ;
Christophe Bajan
;
Guillaume Lambard
;
Keitaro Sodeyama
;
Tetsushi Taguchi
キーワード
Hydrogel
,
Embolic agent
,
Machine learning
刊行年月日
2024-11-07
更新時刻
2025-02-26 16:30:29 +0900
MADGUI: Multi-Application Design Graphical User Interface for active learning assisted by Bayesian optimization
論文
著者
Christophe Bajan
;
Guillaume Lambard
キーワード
Graphical user interface
,
Statistical analysis
,
Machine learning
,
Bayesian optimization
,
Process optimization
,
User-friendly
刊行年月日
2025-01-21
更新時刻
2025-01-27 12:30:30 +0900
Exploring new useful phosphors by combining experiments with machine learning
論文
著者
Takashi Takeda
;
Yukinori Koyama
; Hidekazu Ikeno ;
Satoru Matsuishi
;
Naoto Hirosaki
キーワード
Phosphor
,
High-throughput experiment
,
Machine learning
,
Local structure
,
Europium
刊行年月日
2024-12-31
更新時刻
2024-12-05 16:30:28 +0900
Quasicrystals predicted and discovered by machine learning
論文
著者
Chang Liu ; Koichi Kitahara ; Asuka Ishikawa ;
Takanobu Hiroto
;
Alok Singh
;
Erina Fujita
;
Yukari Katsura
; Yuki Inada ; Ryuji Tamura ;
Kaoru Kimura
;
Ryo Yoshida
キーワード
Crystal forms
,
Crystal phenomena
,
Crystal structure
,
Alloys
,
Machine learning
刊行年月日
2023-09-25
更新時刻
2024-11-21 16:36:03 +0900
Effects of data bias on machine-learning–based material discovery using experimental property data
論文
著者
Masaya Kumagai ; Yuki Ando ; Atsumi Tanaka ;
Koji Tsuda
;
Yukari Katsura
;
Ken Kurosaki
キーワード
Machine learning
,
material informatics
,
large-scale material data
,
data bias
刊行年月日
2022-12-31
更新時刻
2024-11-16 08:31:01 +0900
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
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
キーワード
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(4)
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(2)
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(1)
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(1)
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(1)
active learning
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autonomous materials search
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data bias
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large-scale material data
(1)
material informatics
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(1)
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