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論文(42)
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キーワード: machine learning
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48 件のレコードが見つかりました。
Accelerating Materials Discovery of Novel Europium(II)-Activated Phosphors through Machine Learning Classification of Europium Valences
論文
著者
Yukinori Koyama
;
Yukako Kohriki
;
Masamichi Harada
;
Naoto Hirosaki
;
Takashi Takeda
キーワード
phosphor
,
machine learning
,
europium
,
oxidation state
刊行年月日
2024-12-10
更新時刻
2025-11-25 08:30:03 +0900
Deep Learning Enables Rapid Identification of a New Quasicrystal from Multiphase Powder Diffraction Patterns
論文
著者
Hirotaka Uryu ; Tsunetomo Yamada ; Koichi Kitahara ;
Alok Singh
;
Yutaka Iwasaki
;
Kaoru Kimura
; Kanta Hiroki ; Naoki Miyao ; Asuka Ishikawa ; Ryuji Tamura ; Satoshi Ohhashi ; Chang Liu ; Ryo Yoshida
キーワード
deep learning
,
x-ray powder diffraction
,
quasicrystal
,
phase identification
,
machine learning
刊行年月日
2023-11-14
更新時刻
2024-12-13 12:30:39 +0900
Black-box optimization technique for investigation of surface phase diagram
論文
著者
Makoto Urushihara ;
Kenji Yamaguchi
;
Ryo Tamura
キーワード
surface phase diagram
,
machine learning
刊行年月日
2024-12-01
更新時刻
2024-12-10 16:55:25 +0900
機械学習高速自動スペクトル解析ソフト“EMPeaks”について
論文
著者
永村 直佳
; 安藤 康伸
キーワード
spectroscopy
,
peak fitting
,
data analysis
,
machine learning
刊行年月日
2024-10-10
更新時刻
2025-01-10 16:31:04 +0900
Machine-learning-assisted discovery of polymers with high thermal conductivity using a molecular design algorithm
論文
著者
Stephen Wu ; Yukiko Kondo ; Masa-aki Kakimoto ; Bin Yang ; Hironao Yamada ;
Isao Kuwajima
;
Guillaume Lambard
; Kenta Hongo ;
Yibin Xu
; Junichiro Shiomi ; Christoph Schick ; Junko Morikawa ; Ryo Yoshida
キーワード
machine learning
,
polymer
,
thermal conductivity
,
molecular design
刊行年月日
2019-06-21
更新時刻
2024-11-21 16:31:23 +0900
Atomic descriptors generated from coordination polyhedra in crystal structures
論文
著者
Yuki Inada ;
Yukari Katsura
; Masaya Kumagai ; Kaoru Kimura
キーワード
Materials informatics
,
machine learning
,
atomic descriptors
,
coordination polyhedra
,
formation energy prediction
,
band gap prediction
刊行年月日
2021-01-01
更新時刻
2024-11-21 16:35:29 +0900
Predicting the surface roughness of an electrodeposited copper film using a machine learning technique
論文
著者
Ryo Tamura
; Ryuichi Inaba ; Mami Watanabe ; Yutaro Mori ; Makoto Urushihara ; Kenji Yamaguchi ;
Shoichi Matsuda
キーワード
electrodeposited copper film
,
surface roughness
,
machine learning
刊行年月日
2024-12-31
更新時刻
2024-10-31 16:30:15 +0900
Theoretical investigation of oxidation mechanism in Ti and its alloys
プロシーディングス
著者
Ryoji Sahara
; Somesh Kr. Bhattacharya ; Kanika Kohli ; Prasenjit Ghosh ; Kyosuke Ueda ; Takayuki Narushima
キーワード
high temperature oxidation
,
parabolic rate constant
,
first principles calculations
,
machine learning
,
electronegativity
刊行年月日
更新時刻
2024-10-18 16:30:37 +0900
Computational discovery of stable Na-ion sulfide solid electrolytes with high conductivity at room temperature
論文
著者
Seong-Hoon Jang
;
Randy Jalem
;
Yoshitaka Tateyama
キーワード
all solid state batteries
,
solid electrolytes
,
high-throughput first-principles calculation
,
computational materials search
,
machine learning
,
sodium ion conductors
刊行年月日
2024-08-05
更新時刻
2024-10-10 16:30:52 +0900
Data-driven study of the enthalpy of mixing in the liquid phase
論文
著者
Guillaume Deffrennes
; Bengt Hallstedt ; Taichi Abe ; Quentin Bizot ; Evelyne Fischer ; Jean-Marc Joubert ; Kei Terayama ;
Ryo Tamura
キーワード
enthalpy of mixing
,
machine learning
,
liquid phase
刊行年月日
2024-09-25
更新時刻
2024-10-05 08:30:08 +0900
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RDEメタデータ定義
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