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ジャーナル論文(29)
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キーワード
machine learning (30)
phosphor (3)
tdm (3)
all solid state batteries (2)
europium (2)
inelastic mean free path (2)
materials informatics (2)
solid electrolytes (2)
superconductors (2)
thermal conductivity (2)
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キーワード: machine learning
全ての絞り込みを解除
30 件のレコードが見つかりました。
An interpretable linear model bridging data-driven analysis and chemical intuition for Eu
2+
-phosphor emissions
ジャーナル論文
著者
Yukinori Koyama
(author) (
この著者で検索
)
https://orcid.org/0000-0002-7090-4430
NIMS Researchers Directory SAMURAI
Yukinori Koyama
;
Ryusei Hayasaka
(author) (
この著者で検索
)
Ryusei Hayasaka
;
Yuta Matsushima
(author) (
この著者で検索
)
https://orcid.org/0000-0001-5826-1551
(unauthenticated)
Yuta Matsushima
;
Takayuki Nakanishi
(author) (
この著者で検索
)
https://orcid.org/0000-0003-3412-2842
NIMS Researchers Directory SAMURAI
Takayuki Nakanishi
;
Takashi Takeda
(author) (
この著者で検索
)
https://orcid.org/0000-0003-2510-4562
NIMS Researchers Directory SAMURAI
Takashi Takeda
;
Naoto Hirosaki
(author) (
この著者で検索
)
Naoto Hirosaki
キーワード
materials informatics
,
phosphor
,
europium
,
machine learning
,
interpretability
,
linear model
,
composition-based feature
刊行年月日
2026-12-31
更新時刻
2026-07-07 14:31:04 +0900
Bayesian diversity control for batch-based phase diagram determination
ジャーナル論文
著者
Peiheng Zou
(author) (
この著者で検索
)
Peiheng Zou
;
Ryo Tamura
(author) (
この著者で検索
)
https://orcid.org/0000-0002-0349-358X
NIMS Researchers Directory SAMURAI
Ryo Tamura
;
Koji Tsuda
(author) (
この著者で検索
)
https://orcid.org/0000-0002-4288-1606
NIMS Researchers Directory SAMURAI
Koji Tsuda
キーワード
phase diagram
,
machine learning
刊行年月日
2026-02-16
更新時刻
2026-04-01 14:33:21 +0900
Graph Network-Based Simulation of Multicellular Dynamics Driven by Concentrated Polymer Brush-Modified Cellulose Nanofibers
ジャーナル論文
著者
Chiaki Yoshikawa
(author) (
この著者で検索
)
https://orcid.org/0000-0002-6589-387X
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Chiaki Yoshikawa
;
Duc Anh Nguyen
(author) (
この著者で検索
)
Duc Anh Nguyen
;
Tadashi Nakaji-Hirabayashi
(author) (
この著者で検索
)
Tadashi Nakaji-Hirabayashi
;
Ichigaku Takigawa
(author) (
この著者で検索
)
Ichigaku Takigawa
;
Hiroshi Mamitsuka
(author) (
この著者で検索
)
Hiroshi Mamitsuka
キーワード
cellulose nanofiber
,
concentrated polymer brush
,
hMSC
,
self-assembly
,
machine learning
刊行年月日
2024-04-08
更新時刻
2024-08-27 08:30:31 +0900
Machine learning approach for the prediction of electron inelastic mean free paths
ジャーナル論文
著者
Xun Liu
(author) (
この著者で検索
)
National Institute for Materials Science
Xun Liu
;
Lihao Yang
(author) (
この著者で検索
)
Lihao Yang
;
Zhufeng Hou
(author) (
この著者で検索
)
Zhufeng Hou
;
Bo Da
(author) (
この著者で検索
)
https://orcid.org/0000-0002-0785-8662
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Bo Da
;
Kenji Nagata
(author) (
この著者で検索
)
https://orcid.org/0000-0001-9894-4461
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Kenji Nagata
;
Hideki Yoshikawa
(author) (
この著者で検索
)
https://orcid.org/0000-0002-7389-8865
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Hideki Yoshikawa
;
Shigeo Tanuma
(author) (
この著者で検索
)
https://orcid.org/0000-0003-2628-9941
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Shigeo Tanuma
;
Yang Sun
(author) (
この著者で検索
)
Yang Sun
;
Zejun Ding
(author) (
この著者で検索
)
Zejun Ding
キーワード
machine learning
,
inelastic mean free path
刊行年月日
2021-03-24
更新時刻
2024-01-05 22:13:49 +0900
Computational discovery of stable Na-ion sulfide solid electrolytes with high conductivity at room temperature
ジャーナル論文
著者
Seong-Hoon Jang
(author) (
この著者で検索
)
https://orcid.org/0000-0001-6026-636X
(unauthenticated)
Seong-Hoon Jang
;
Randy Jalem
(author) (
この著者で検索
)
https://orcid.org/0000-0001-9505-771X
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Randy Jalem
;
Yoshitaka Tateyama
(author) (
この著者で検索
)
https://orcid.org/0000-0002-5532-6134
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
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
Accelerating Materials Discovery of Novel Europium(II)-Activated Phosphors through Machine Learning Classification of Europium Valences
ジャーナル論文
著者
Yukinori Koyama
(author) (
この著者で検索
)
https://orcid.org/0000-0002-7090-4430
NIMS Researchers Directory SAMURAI
Yukinori Koyama
;
Yukako Kohriki
(author) (
この著者で検索
)
https://orcid.org/0000-0002-6858-1273
NIMS Researchers Directory SAMURAI
Yukako Kohriki
;
Masamichi Harada
(author) (
この著者で検索
)
https://orcid.org/0000-0002-7321-0733
NIMS Researchers Directory SAMURAI
Masamichi Harada
;
Naoto Hirosaki
(author) (
この著者で検索
)
https://orcid.org/0000-0001-9218-9557
NIMS Researchers Directory SAMURAI
Naoto Hirosaki
;
Takashi Takeda
(author) (
この著者で検索
)
https://orcid.org/0000-0003-2510-4562
NIMS Researchers Directory SAMURAI
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
Automatic Identification and Normalisation of Physical Measurements in Scientific Literature
ジャーナル論文
著者
FOPPIANO, Luca
(author) (
この著者で検索
)
https://orcid.org/0000-0002-6114-6164
FOPPIANO, Luca
;
ROMARY, Laurent
(author) (
この著者で検索
)
https://orcid.org/0000-0002-0756-0508
(unauthenticated)
ROMARY, Laurent
;
ISHII, Masashi
(author) (
この著者で検索
)
https://orcid.org/0000-0003-0357-2832
NIMS Researchers Directory SAMURAI
ISHII, Masashi
;
TANIFUJI, Mikiko
(author) (
この著者で検索
)
https://orcid.org/0000-0001-5284-6364
TANIFUJI, Mikiko
キーワード
tdm
,
physical quantities
,
machine learning
刊行年月日
2019-09-23
更新時刻
2022-10-03 02:00:14 +0900
Dielectric tensor of perovskite oxides at finite temperature using equivariant graph neural network potentials
ジャーナル論文
著者
Alex Kutana
(author) (
この著者で検索
)
Nagoya University
Alex Kutana
;
Koki Yoshimochi
(author) (
この著者で検索
)
Koki Yoshimochi
;
Ryoji Asahi
(author) (
この著者で検索
)
Ryoji Asahi
キーワード
Graph neural network
,
machine learning
,
dielectrics
,
perovskite oxides
,
phase transitions
刊行年月日
2025-12-31
更新時刻
2025-07-18 10:24:15 +0900
Deep Learning Enables Rapid Identification of a New Quasicrystal from Multiphase Powder Diffraction Patterns
ジャーナル論文
著者
Hirotaka Uryu
(author) (
この著者で検索
)
Hirotaka Uryu
;
Tsunetomo Yamada
(author) (
この著者で検索
)
Tsunetomo Yamada
;
Koichi Kitahara
(author) (
この著者で検索
)
Koichi Kitahara
;
Alok Singh
(author) (
この著者で検索
)
https://orcid.org/0000-0001-5515-8305
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Alok Singh
;
Yutaka Iwasaki
(author) (
この著者で検索
)
https://orcid.org/0000-0002-7317-4939
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Yutaka Iwasaki
;
Kaoru Kimura
(author) (
この著者で検索
)
https://orcid.org/0000-0001-5050-4256
National Institute for Materials Science
Kaoru Kimura
;
Kanta Hiroki
(author) (
この著者で検索
)
Kanta Hiroki
;
Naoki Miyao
(author) (
この著者で検索
)
Naoki Miyao
;
Asuka Ishikawa
(author) (
この著者で検索
)
Asuka Ishikawa
;
Ryuji Tamura
(author) (
この著者で検索
)
Ryuji Tamura
;
Satoshi Ohhashi
(author) (
この著者で検索
)
Satoshi Ohhashi
;
Chang Liu
(author) (
この著者で検索
)
Chang Liu
;
Ryo Yoshida
(author) (
この著者で検索
)
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
多次元X線計測と情報科学
ジャーナル論文
著者
永村 直佳
(author) (
この著者で検索
)
https://orcid.org/0000-0002-7697-8983
物質・材料研究機構 マテリアル基盤研究センター/先端解析分野/光電子分光グループ
NIMS Researchers Directory SAMURAI
永村 直佳
キーワード
multi-dimensional
,
X-ray spectroscopy
,
data-driven science
,
machine learning
,
sparce modeling
刊行年月日
[2025年8月]
更新時刻
2026-01-20 10:11:08 +0900
キーワード
machine learning
(30)
phosphor
(3)
tdm
(3)
all solid state batteries
(2)
europium
(2)
inelastic mean free path
(2)
materials informatics
(2)
solid electrolytes
(2)
superconductors
(2)
thermal conductivity
(2)
Acoustic sensing
(1)
Eu2+
(1)
FePt
(1)
Graph neural network
(1)
LASSO
(1)
PoLyInfo
(1)
X-ray spectroscopy
(1)
active learning
(1)
adhesive
(1)
artificial intelligence
(1)
biomass
(1)
carbon
(1)
carbon nanotube
(1)
cellulose nanofiber
(1)
combinatorial
(1)
composition-based feature
(1)
computational materials search
(1)
concentrated polymer brush
(1)
data-driven science
(1)
database
(1)
dataset
(1)
deep learning
(1)
density functional theory
(1)
density-functional theory
(1)
dielectrics
(1)
disturbance detection
(1)
dopant
(1)
elastic modulus
(1)
electrocatalysis
(1)
electrochemical energy storage
(1)
electrochemical interfaces
(1)
electrodeposited copper film
(1)
emission spectrum
(1)
energy
(1)
epoxy
(1)
experimental testing
(1)
explainable AI
(1)
gas metal arc welding
(1)
growth mechanism
(1)
hMSC
(1)
heat-assisted magnetic recording
(1)
high throughput
(1)
high-temperature superconductivity
(1)
high-throughput first-principles calculation
(1)
in silico optimization
(1)
in situ TEM
(1)
in-process monitoring
(1)
interpretability
(1)
linear model
(1)
liquid crystalline polymer
(1)
lithium metal battery
(1)
luminescence
(1)
luminescent materials
(1)
materials design
(1)
materials science
(1)
materials science
(1)
molecular design
(1)
molecular dynamics simulation
(1)
multi-dimensional
(1)
multi-objective optimization
(1)
nanocarrier design
(1)
nanomedicine
(1)
novel materials search
(1)
oxidation state
(1)
perovskite oxides
(1)
phase diagram
(1)
phase identification
(1)
phase transitions
(1)
photoemission spectroscopy
(1)
physical quantities
(1)
polymer
(1)
quantum materials
(1)
quasicrystal
(1)
rare-earth doping
(1)
self-assembly
(1)
smart manufacturing
(1)
sodium ion conductors
(1)
sparce modeling
(1)
storage
(1)
surface roughness
(1)
targeted drug delivery
(1)
x-ray powder diffraction
(1)
RDEメタデータ定義
RDE送り状
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