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Journal article(32)
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Dataset(1)
Keyword
machine learning (34)
phosphor (3)
tdm (3)
all solid state batteries (2)
europium (2)
inelastic mean free path (2)
materials informatics (2)
solid electrolytes (2)
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Keyword: machine learning
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34 records found.
Networking autonomous material exploration systems through transfer learning
Journal article
Creator
Naoki Yoshida
(author) (
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Naoki Yoshida
;
Yutaro Iwabuchi
(author) (
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)
Yutaro Iwabuchi
;
Yasuhiko Igarashi
(author) (
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)
Yasuhiko Igarashi
;
Yuma Iwasaki
(author) (
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)
https://orcid.org/0000-0002-7117-277X
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Yuma Iwasaki
Keyword
machine learning
Date published
2025-12-09
Updated at
2025-12-13 08:30:26 +0900
Machine Learning as a “Catalyst” for Advancements in Carbon Nanotube Research
Journal article
Creator
Guohai Chen
(author) (
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)
https://orcid.org/0000-0001-8481-0972
(unauthenticated)
Guohai Chen
;
Dai-Ming Tang
(author) (
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)
https://orcid.org/0000-0001-7136-7481
NIMS Researchers Directory SAMURAI
Dai-Ming Tang
Keyword
machine learning
,
carbon nanotube
,
in situ TEM
,
growth mechanism
Date published
2024-10-22
Updated at
2024-12-24 13:58:23 +0900
Artificial Intelligence‐Driven Nanoarchitectonics for Smart Targeted Drug Delivery
Journal article
Creator
Hayeon Bae
(author) (
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)
Hayeon Bae
;
Hyunsub Ji
(author) (
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)
Hyunsub Ji
;
Konstantin Konstantinov
(author) (
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)
Konstantin Konstantinov
;
Ronald Sluyter
(author) (
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)
Ronald Sluyter
;
Katsuhiko Ariga
(author) (
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)
https://orcid.org/0000-0002-2445-2955
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Katsuhiko Ariga
;
Yong Ho Kim
(author) (
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)
Yong Ho Kim
;
Jung Ho Kim
(author) (
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)
Jung Ho Kim
Keyword
artificial intelligence
,
in silico optimization
,
machine learning
,
nanocarrier design
,
nanomedicine
,
targeted drug delivery
Date published
2025-08-07
Updated at
2025-10-28 12:30:13 +0900
Rapid discovery of new Eu2+-activated phosphors with a designed luminescence color using a data-driven approach
Journal article
Creator
Yukinori Koyama
(author) (
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)
https://orcid.org/0000-0002-7090-4430
Research and Services Division of Materials Data and Integrated System, National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Yukinori Koyama
;
Hidekazu Ikeno
(author) (
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Osaka Metropolitan University
Hidekazu Ikeno
;
Masamichi Harada
(author) (
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)
Research Center for Functional Materials, National Institute for Materials Science
Masamichi Harada
;
Shiro Funahashi
(author) (
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)
Research Center for Functional Materials, National Institute for Materials Science
Shiro Funahashi
;
Takashi Takeda
(author) (
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)
https://orcid.org/0000-0003-2510-4562
Research Center for Functional Materials, National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Takashi Takeda
;
Naoto Hirosaki
(author) (
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)
Research Center for Functional Materials, National Institute for Materials Science
Naoto Hirosaki
Keyword
phosphor
,
materials design
,
machine learning
,
luminescence
,
emission spectrum
,
Eu2+
Date published
2022-11-29
Updated at
2024-01-05 22:11:23 +0900
Er-driven magnetic tunability in FePt thin films investigated via high-throughput experiments and microstructure analysis for future HAMR media
Journal article
Creator
Daisuke Ogawa
(author) (
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)
https://orcid.org/0000-0002-4373-6435
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Daisuke Ogawa
;
Yuma Iwasaki
(author) (
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)
https://orcid.org/0000-0002-7117-277X
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Yuma Iwasaki
;
Jun Uzuhashi
(author) (
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)
https://orcid.org/0000-0003-2023-8158
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Jun Uzuhashi
;
Yuta Sasaki
(author) (
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https://orcid.org/0000-0002-9192-4799
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Yuta Sasaki
;
Masato Kotsugi
(author) (
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Masato Kotsugi
;
Yukiko K. Takahashi
(author) (
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)
https://orcid.org/0000-0001-9197-7236
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Yukiko K. Takahashi
Keyword
heat-assisted magnetic recording
,
FePt
,
combinatorial
,
high throughput
,
machine learning
,
rare-earth doping
Date published
2025-06-23
Updated at
2025-07-11 08:30:48 +0900
Predicting the surface roughness of an electrodeposited copper film using a machine learning technique
Journal article
Creator
Ryo Tamura
(author) (
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)
https://orcid.org/0000-0002-0349-358X
Center for Basic Research on Materials/Data-driven Materials Research Field/Data-driven Algorithm Team, National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Ryo Tamura
;
Ryuichi Inaba
(author) (
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MITSUBISHI MATERIALS CORPORATION
Ryuichi Inaba
;
Mami Watanabe
(author) (
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)
MITSUBISHI MATERIALS CORPORATION
Mami Watanabe
;
Yutaro Mori
(author) (
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)
MITSUBISHI MATERIALS CORPORATION
Yutaro Mori
;
Makoto Urushihara
(author) (
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MITSUBISHI MATERIALS CORPORATION
Makoto Urushihara
;
Kenji Yamaguchi
(author) (
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MITSUBISHI MATERIALS CORPORATION
Kenji Yamaguchi
;
Shoichi Matsuda
(author) (
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)
https://orcid.org/0000-0002-0640-3404
Research Center for Energy and Environmental Materials (GREEN)/Battery and Cell Materials Field/Automated Electrochemical Experiments Team, National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Shoichi Matsuda
Keyword
electrodeposited copper film
,
surface roughness
,
machine learning
Date published
2024-12-31
Updated at
2024-10-31 16:30:15 +0900
Machine-Learning-Driven Discovery of Mn
4+
-Doped Red-Emitting Fluorides with Short Excited-State Lifetime and High Efficiency for Mini Light-Emitting Diode Displays
Journal article
Creator
Hong Ming
(author) (
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)
https://orcid.org/0000-0003-0118-1897
(unauthenticated)
Hong Ming
;
Yayun Zhou
(author) (
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)
Yayun Zhou
;
Maxim S. Molokeev
(author) (
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https://orcid.org/0000-0002-8297-0945
(unauthenticated)
Maxim S. Molokeev
;
Chuang Zhang
(author) (
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)
Chuang Zhang
;
Lin Huang
(author) (
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Lin Huang
;
Yuanjing Wang
(author) (
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Yuanjing Wang
;
Hong-Tao Sun
(author) (
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)
https://orcid.org/0000-0002-0003-7941
NIMS Researchers Directory SAMURAI
Hong-Tao Sun
;
Enhai Song
(author) (
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)
https://orcid.org/0000-0003-1666-0532
(unauthenticated)
Enhai Song
;
Qinyuan Zhang
(author) (
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)
https://orcid.org/0000-0001-6544-4735
(unauthenticated)
Qinyuan Zhang
Keyword
luminescent materials
,
machine learning
Date published
2024-05-06
Updated at
2025-04-03 08:30:20 +0900
Capacity Estimation and Knee Point Prediction Using Electrochemical Impedance Spectroscopy for Lithium Metal Battery Degradation via Machine Learning
Journal article
Creator
Qianli Si
(author) (
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)
National Institute for Materials Science
Qianli Si
;
Shoichi Matsuda
(author) (
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)
https://orcid.org/0000-0002-0640-3404
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Shoichi Matsuda
;
Yasunobu Ando
(author) (
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Yasunobu Ando
;
Toshiyuki Momma
(author) (
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Toshiyuki Momma
;
Yoshitaka Tateyama
(author) (
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)
https://orcid.org/0000-0002-5532-6134
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Yoshitaka Tateyama
Keyword
lithium metal battery
,
machine learning
Date published
2025-05-05
Updated at
2025-09-09 12:30:20 +0900
Supercon 2 Dataset
Dataset
Creator
Foppiano, Luca
(author) (
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)
https://orcid.org/0000-0002-6114-6164
Foppiano, Luca
Keyword
superconductors
,
machine learning
,
dataset
,
tdm
,
materials science
Date published
2022-09-10
Updated at
2022-10-18 10:11:01 +0900
2023 Roadmap on molecular modelling of electrochemical energy materials
Journal article
Creator
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) (
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Ming Chen
;
Xiangyu Ji
(author) (
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Xiangyu Ji
;
Guang Feng
(author) (
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Guang Feng
;
Kateryna Goloviznina
(author) (
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Kateryna Goloviznina
;
Alessandra Serva
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Alessandra Serva
;
Mathieu Salanne
(author) (
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Mathieu Salanne
;
Toshihiko Mandai
(author) (
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https://orcid.org/0000-0002-2403-7794
National Institute for Materials Science (NIMS)
NIMS Researchers Directory SAMURAI
Toshihiko Mandai
;
Tomooki Hosaka
(author) (
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Tomooki Hosaka
;
Mirna Alhanash
(author) (
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Mirna Alhanash
;
Patrik Johansson
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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
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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) (
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Minho M Kim
;
Hyungjun Kim
(author) (
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Hyungjun Kim
;
Kathleen Schwarz
(author) (
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Kathleen Schwarz
;
Ravishankar Sundararaman
(author) (
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Ravishankar Sundararaman
Keyword
electrochemical interfaces
,
density-functional theory
,
molecular dynamics simulation
,
electrochemical energy storage
,
machine learning
,
electrocatalysis
Date published
2023-10-01
Updated at
2024-03-22 00:53:39 +0900
Keyword
machine learning
(34)
phosphor
(3)
tdm
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all solid state batteries
(2)
europium
(2)
inelastic mean free path
(2)
materials informatics
(2)
solid electrolytes
(2)
superconductors
(2)
thermal conductivity
(2)
Eu2+
(1)
FePt
(1)
Graph neural network
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Interfacial thermal resistance
(1)
LASSO
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PoLyInfo
(1)
Time-domain thermoreflectance
(1)
X-ray spectroscopy
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active learning
(1)
adhesive
(1)
artificial intelligence
(1)
biomass
(1)
carbon
(1)
carbon nanotube
(1)
cellulose nanofiber
(1)
combinatorial
(1)
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(1)
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(1)
concentrated polymer brush
(1)
data-driven science
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(1)
deep learning
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density functional theory
(1)
density-functional theory
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dielectrics
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dopant
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elastic modulus
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electrocatalysis
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electrochemical energy storage
(1)
electrochemical interfaces
(1)
electrodeposited copper film
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electronegativity
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electronics
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emission spectrum
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energy
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epoxy
(1)
experimental testing
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fatigue
(1)
first principles calculations
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growth mechanism
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hMSC
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high temperature oxidation
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sodium ion conductors
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targeted drug delivery
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