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ジャーナル論文(29)
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machine learning (30)
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ファイル種別: application/pdf
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。
2023 Roadmap on molecular modelling of electrochemical energy materials
ジャーナル論文
著者
Chao Zhang
(author) (
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)
Chao Zhang
;
Jun Cheng
(author) (
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)
Jun Cheng
;
Yiming Chen
(author) (
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)
Yiming Chen
;
Maria K Y Chan
(author) (
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)
Maria K Y Chan
;
Qiong Cai
(author) (
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)
Qiong Cai
;
Rodrigo P Carvalho
(author) (
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)
Rodrigo P Carvalho
;
Cleber F N Marchiori
(author) (
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)
Cleber F N Marchiori
;
Daniel Brandell
(author) (
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)
Daniel Brandell
;
C Moyses Araujo
(author) (
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)
C Moyses Araujo
;
Ming Chen
(author) (
この著者で検索
)
Ming Chen
;
Xiangyu Ji
(author) (
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)
Xiangyu Ji
;
Guang Feng
(author) (
この著者で検索
)
Guang Feng
;
Kateryna Goloviznina
(author) (
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)
Kateryna Goloviznina
;
Alessandra Serva
(author) (
この著者で検索
)
Alessandra Serva
;
Mathieu Salanne
(author) (
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)
Mathieu Salanne
;
Toshihiko Mandai
(author) (
この著者で検索
)
https://orcid.org/0000-0002-2403-7794
National Institute for Materials Science (NIMS)
NIMS Researchers Directory SAMURAI
Toshihiko Mandai
;
Tomooki Hosaka
(author) (
この著者で検索
)
Tomooki Hosaka
;
Mirna Alhanash
(author) (
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)
Mirna Alhanash
;
Patrik Johansson
(author) (
この著者で検索
)
Patrik Johansson
;
Yun-Ze Qiu
(author) (
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)
Yun-Ze Qiu
;
Hai Xiao
(author) (
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)
Hai Xiao
;
Michael Eikerling
(author) (
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)
Michael Eikerling
;
Ryosuke Jinnouchi
(author) (
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)
Ryosuke Jinnouchi
;
Marko M Melander
(author) (
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)
Marko M Melander
;
Georg Kastlunger
(author) (
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)
Georg Kastlunger
;
Assil Bouzid
(author) (
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)
Assil Bouzid
;
Alfredo Pasquarello
(author) (
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)
Alfredo Pasquarello
;
Seung-Jae Shin
(author) (
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)
Seung-Jae Shin
;
Minho M Kim
(author) (
この著者で検索
)
Minho M Kim
;
Hyungjun Kim
(author) (
この著者で検索
)
Hyungjun Kim
;
Kathleen Schwarz
(author) (
この著者で検索
)
Kathleen Schwarz
;
Ravishankar Sundararaman
(author) (
この著者で検索
)
Ravishankar Sundararaman
キーワード
electrochemical interfaces
,
density-functional theory
,
molecular dynamics simulation
,
electrochemical energy storage
,
machine learning
,
electrocatalysis
刊行年月日
2023-10-01
更新時刻
2024-03-22 00:53:39 +0900
Predicting the surface roughness of an electrodeposited copper film using a machine learning technique
ジャーナル論文
著者
Ryo Tamura
(author) (
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)
https://orcid.org/0000-0002-0349-358X
National Institute for Materials Science Center for Basic Research on Materials/Data-driven Materials Research Field/Data-driven Algorithm Team
NIMS Researchers Directory SAMURAI
Ryo Tamura
;
Ryuichi Inaba
(author) (
この著者で検索
)
MITSUBISHI MATERIALS CORPORATION
Ryuichi Inaba
;
Mami Watanabe
(author) (
この著者で検索
)
MITSUBISHI MATERIALS CORPORATION
Mami Watanabe
;
Yutaro Mori
(author) (
この著者で検索
)
MITSUBISHI MATERIALS CORPORATION
Yutaro Mori
;
Makoto Urushihara
(author) (
この著者で検索
)
MITSUBISHI MATERIALS CORPORATION
Makoto Urushihara
;
Kenji Yamaguchi
(author) (
この著者で検索
)
MITSUBISHI MATERIALS CORPORATION
Kenji Yamaguchi
;
Shoichi Matsuda
(author) (
この著者で検索
)
https://orcid.org/0000-0002-0640-3404
National Institute for Materials Science Research Center for Energy and Environmental Materials (GREEN)/Battery and Cell Materials Field/Automated Electrochemical Experiments Team
NIMS Researchers Directory SAMURAI
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
Estimating the S-N Curve by Machine Learning Random Forest Method
ジャーナル論文
著者
Nobuo Nagashima
(author) (
この著者で検索
)
https://orcid.org/0000-0003-3588-980X
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Nobuo Nagashima
;
Masao Hayakawa
(author) (
この著者で検索
)
https://orcid.org/0000-0001-5143-8350
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Masao Hayakawa
;
Hiroyuki Masuda
(author) (
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)
https://orcid.org/0000-0003-2847-1616
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Hiroyuki Masuda
;
Kotobu Nagai
(author) (
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)
National Institute for Materials Science
Kotobu Nagai
キーワード
fatigue
,
high-cycle fatigue
,
data-sheet
,
machine learning
,
random forest method
刊行年月日
2024-04-01
更新時刻
2024-12-27 16:30:58 +0900
Machine Learning—Guided Design of Biomass‐Based Porous Carbon for Aqueous Symmetric Supercapacitors
ジャーナル論文
著者
Manickam Minakshi
(author) (
この著者で検索
)
https://orcid.org/0000-0001-6558-8317
(unauthenticated)
Manickam Minakshi
;
Apsana Sharma
(author) (
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)
Apsana Sharma
;
Ferdous Sohel
(author) (
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)
Ferdous Sohel
;
Almantas Pivrikas
(author) (
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)
https://orcid.org/0000-0002-7713-2154
(unauthenticated)
Almantas Pivrikas
;
Pragati A. Shinde
(author) (
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)
https://orcid.org/0000-0003-1730-2374
(unauthenticated)
Pragati A. Shinde
;
Katsuhiko Ariga
(author) (
この著者で検索
)
https://orcid.org/0000-0002-2445-2955
NIMS Researchers Directory SAMURAI
Katsuhiko Ariga
;
Lok Kumar Shrestha
(author) (
この著者で検索
)
https://orcid.org/0000-0003-2680-6291
NIMS Researchers Directory SAMURAI
Lok Kumar Shrestha
キーワード
biomass
,
carbon
,
dopant
,
energy
,
machine learning
,
storage
刊行年月日
2025-10-09
更新時刻
2025-10-21 16:06:10 +0900
Revolutionizing electronics with advanced interfacial heat management
ジャーナル論文
著者
Yen-Ju Wu
(author) (
この著者で検索
)
https://orcid.org/0000-0003-2647-3407
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Yen-Ju Wu
キーワード
Interfacial thermal resistance
,
thermal management
,
electronics
,
machine learning
刊行年月日
2024-07-17
更新時刻
2024-08-27 16:30:21 +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
Multi-Objective Optimization of Adhesive Joint Strength and Elastic Modulus of Adhesive Epoxy with Active Learning
ジャーナル論文
著者
Paripat Kraisornkachit
(author) (
この著者で検索
)
https://orcid.org/0000-0002-0796-3665
NIMS Researchers Directory SAMURAI
Paripat Kraisornkachit
;
Masanobu Naito
(author) (
この著者で検索
)
https://orcid.org/0000-0001-7198-819X
NIMS Researchers Directory SAMURAI
Masanobu Naito
;
Chao Kang
(author) (
この著者で検索
)
https://orcid.org/0000-0002-9567-0976
(unauthenticated)
Chao Kang
;
Chiaki Sato
(author) (
この著者で検索
)
Chiaki Sato
キーワード
experimental testing
,
multi-objective optimization
,
epoxy
,
adhesive
,
elastic modulus
,
machine learning
,
active learning
刊行年月日
2024-06-12
更新時刻
2025-01-07 08:30:26 +0900
Artificial Intelligence‐Driven Nanoarchitectonics for Smart Targeted Drug Delivery
ジャーナル論文
著者
Hayeon Bae
(author) (
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)
Hayeon Bae
;
Hyunsub Ji
(author) (
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)
Hyunsub Ji
;
Konstantin Konstantinov
(author) (
この著者で検索
)
Konstantin Konstantinov
;
Ronald Sluyter
(author) (
この著者で検索
)
Ronald Sluyter
;
Katsuhiko Ariga
(author) (
この著者で検索
)
https://orcid.org/0000-0002-2445-2955
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Katsuhiko Ariga
;
Yong Ho Kim
(author) (
この著者で検索
)
Yong Ho Kim
;
Jung Ho Kim
(author) (
この著者で検索
)
Jung Ho Kim
キーワード
artificial intelligence
,
in silico optimization
,
machine learning
,
nanocarrier design
,
nanomedicine
,
targeted drug delivery
刊行年月日
2025-08-07
更新時刻
2025-10-28 12:30:13 +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
Er-driven magnetic tunability in FePt thin films investigated via high-throughput experiments and microstructure analysis for future HAMR media
ジャーナル論文
著者
Daisuke Ogawa
(author) (
この著者で検索
)
https://orcid.org/0000-0002-4373-6435
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Daisuke Ogawa
;
Yuma Iwasaki
(author) (
この著者で検索
)
https://orcid.org/0000-0002-7117-277X
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Yuma Iwasaki
;
Jun Uzuhashi
(author) (
この著者で検索
)
https://orcid.org/0000-0003-2023-8158
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Jun Uzuhashi
;
Yuta Sasaki
(author) (
この著者で検索
)
https://orcid.org/0000-0002-9192-4799
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Yuta Sasaki
;
Masato Kotsugi
(author) (
この著者で検索
)
Masato Kotsugi
;
Yukiko K. Takahashi
(author) (
この著者で検索
)
https://orcid.org/0000-0001-9197-7236
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Yukiko K. Takahashi
キーワード
heat-assisted magnetic recording
,
FePt
,
combinatorial
,
high throughput
,
machine learning
,
rare-earth doping
刊行年月日
2025-06-23
更新時刻
2025-07-11 08:30:48 +0900
キーワード
machine learning
(30)
phosphor
(3)
all solid state batteries
(2)
europium
(2)
materials informatics
(2)
solid electrolytes
(2)
tdm
(2)
thermal conductivity
(2)
Eu2+
(1)
FePt
(1)
Graph neural network
(1)
Interfacial thermal resistance
(1)
LASSO
(1)
PoLyInfo
(1)
Time-domain thermoreflectance
(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 analysis
(1)
data-sheet
(1)
database
(1)
deep learning
(1)
density functional theory
(1)
density-functional theory
(1)
dielectrics
(1)
dopant
(1)
elastic modulus
(1)
electrocatalysis
(1)
electrochemical energy storage
(1)
electrochemical interfaces
(1)
electrodeposited copper film
(1)
electronics
(1)
emission spectrum
(1)
energy
(1)
epoxy
(1)
experimental testing
(1)
fatigue
(1)
growth mechanism
(1)
hMSC
(1)
heat-assisted magnetic recording
(1)
high throughput
(1)
high-cycle fatigue
(1)
high-temperature superconductivity
(1)
high-throughput first-principles calculation
(1)
in silico optimization
(1)
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interfacial thermal resistance
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lithium metal battery
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physical quantities
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polymer
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quantum materials
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quasicrystal
(1)
random forest method
(1)
rare-earth doping
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self-assembly
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sodium ion conductors
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superconductors
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surface roughness
(1)
targeted drug delivery
(1)
template substitution
(1)
thermal effusivity
(1)
thermal management
(1)
thin film
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threshold
(1)
x-ray powder diffraction
(1)
RDEメタデータ定義
RDE送り状
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