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Resource type
Journal article(22)
Conference paper(1)
Dataset(1)
Keyword
machine learning (24)
phosphor (2)
superconductors (2)
tdm (2)
Eu2+ (1)
FePt (1)
Graph neural network (1)
LASSO (1)
Time-domain thermoreflectance (1)
active learning (1)
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Creative Commons BY Attribution 4.0 International (12)
In Copyright (7)
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text/markdown (1)
text/plain (1)
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Keyword: machine learning
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24 records found.
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
Self-Energy Spectroscopy and Artificial Neural Network
Journal article
Creator
Youhei Yamaji
(author) (
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)
https://orcid.org/0000-0002-4055-8792
NIMS Researchers Directory SAMURAI
Youhei Yamaji
Keyword
machine learning
,
quantum materials
,
photoemission spectroscopy
,
high-temperature superconductivity
Date published
2025-03-15
Updated at
2025-02-27 12:30:42 +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
(author) (
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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
(author) (
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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
(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) (
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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
Deep Learning Enables Rapid Identification of a New Quasicrystal from Multiphase Powder Diffraction Patterns
Journal article
Creator
Hirotaka Uryu
(author) (
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Hirotaka Uryu
;
Tsunetomo Yamada
(author) (
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)
Tsunetomo Yamada
;
Koichi Kitahara
(author) (
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)
Koichi Kitahara
;
Alok Singh
(author) (
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)
https://orcid.org/0000-0001-5515-8305
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Alok Singh
;
Yutaka Iwasaki
(author) (
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)
https://orcid.org/0000-0002-7317-4939
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Yutaka Iwasaki
;
Kaoru Kimura
(author) (
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)
https://orcid.org/0000-0001-5050-4256
National Institute for Materials Science
Kaoru Kimura
;
Kanta Hiroki
(author) (
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)
Kanta Hiroki
;
Naoki Miyao
(author) (
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)
Naoki Miyao
;
Asuka Ishikawa
(author) (
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Asuka Ishikawa
;
Ryuji Tamura
(author) (
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)
Ryuji Tamura
;
Satoshi Ohhashi
(author) (
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)
Satoshi Ohhashi
;
Chang Liu
(author) (
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)
Chang Liu
;
Ryo Yoshida
(author) (
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)
Ryo Yoshida
Keyword
deep learning
,
x-ray powder diffraction
,
quasicrystal
,
phase identification
,
machine learning
Date published
2023-11-14
Updated at
2024-12-13 12:30:39 +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
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
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
Machine-learning-assisted discovery of polymers with high thermal conductivity using a molecular design algorithm
Journal article
Creator
Stephen Wu
(author) (
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)
Stephen Wu
;
Yukiko Kondo
(author) (
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Yukiko Kondo
;
Masa-aki Kakimoto
(author) (
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Masa-aki Kakimoto
;
Bin Yang
(author) (
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Bin Yang
;
Hironao Yamada
(author) (
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)
Hironao Yamada
;
Isao Kuwajima
(author) (
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)
https://orcid.org/0000-0002-5994-3834
NIMS Researchers Directory SAMURAI
Isao Kuwajima
;
Guillaume Lambard
(author) (
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)
https://orcid.org/0000-0003-0275-4079
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Guillaume Lambard
;
Kenta Hongo
(author) (
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Kenta Hongo
;
Yibin Xu
(author) (
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)
https://orcid.org/0000-0001-8600-8748
NIMS Researchers Directory SAMURAI
Yibin Xu
;
Junichiro Shiomi
(author) (
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Junichiro Shiomi
;
Christoph Schick
(author) (
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Christoph Schick
;
Junko Morikawa
(author) (
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)
Junko Morikawa
;
Ryo Yoshida
(author) (
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)
Ryo Yoshida
Keyword
machine learning
,
polymer
,
thermal conductivity
,
molecular design
Date published
2019-06-21
Updated at
2024-11-21 16:31:23 +0900
Estimating the S-N Curve by Machine Learning Random Forest Method
Journal article
Creator
Nobuo Nagashima
(author) (
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)
https://orcid.org/0000-0003-3588-980X
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Nobuo Nagashima
;
Masao Hayakawa
(author) (
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)
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
Keyword
fatigue
,
high-cycle fatigue
,
data-sheet
,
machine learning
,
random forest method
Date published
2024-04-01
Updated at
2024-12-27 16:30:58 +0900
Multi-Objective Optimization of Adhesive Joint Strength and Elastic Modulus of Adhesive Epoxy with Active Learning
Journal article
Creator
Paripat Kraisornkachit
(author) (
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)
https://orcid.org/0000-0002-0796-3665
NIMS Researchers Directory SAMURAI
Paripat Kraisornkachit
;
Masanobu Naito
(author) (
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)
https://orcid.org/0000-0001-7198-819X
NIMS Researchers Directory SAMURAI
Masanobu Naito
;
Chao Kang
(author) (
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)
https://orcid.org/0000-0002-9567-0976
(unauthenticated)
Chao Kang
;
Chiaki Sato
(author) (
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)
Chiaki Sato
Keyword
experimental testing
,
multi-objective optimization
,
epoxy
,
adhesive
,
elastic modulus
,
machine learning
,
active learning
Date published
2024-06-12
Updated at
2025-01-07 08:30:26 +0900
Keyword
machine learning
(24)
phosphor
(2)
superconductors
(2)
tdm
(2)
Eu2+
(1)
FePt
(1)
Graph neural network
(1)
LASSO
(1)
Time-domain thermoreflectance
(1)
active learning
(1)
adhesive
(1)
all solid state batteries
(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)
dataset
(1)
deep learning
(1)
density-functional theory
(1)
dielectrics
(1)
dopant
(1)
elastic modulus
(1)
electrocatalysis
(1)
electrochemical energy storage
(1)
electrochemical interfaces
(1)
electronegativity
(1)
emission spectrum
(1)
energy
(1)
epoxy
(1)
europium
(1)
experimental testing
(1)
fatigue
(1)
first principles calculations
(1)
growth mechanism
(1)
hMSC
(1)
heat-assisted magnetic recording
(1)
high temperature oxidation
(1)
high throughput
(1)
high-cycle fatigue
(1)
high-temperature superconductivity
(1)
high-throughput first-principles calculation
(1)
in situ TEM
(1)
inelastic mean free path
(1)
interfacial thermal resistance
(1)
interpretability
(1)
linear model
(1)
lithium metal battery
(1)
luminescence
(1)
luminescent materials
(1)
materials design
(1)
materials informatics
(1)
materials science
(1)
materials science
(1)
molecular design
(1)
molecular dynamics simulation
(1)
multi-objective optimization
(1)
multiple delay
(1)
parabolic rate constant
(1)
peak fitting
(1)
perovskite oxides
(1)
phase diagram
(1)
phase identification
(1)
phase transitions
(1)
photoelectron yield spectroscopy
(1)
photoemission spectroscopy
(1)
polymer
(1)
quantum materials
(1)
quasicrystal
(1)
random forest method
(1)
rare-earth doping
(1)
self-assembly
(1)
sodium ion conductors
(1)
solid electrolytes
(1)
spectroscopy
(1)
storage
(1)
thermal conductivity
(1)
thermal effusivity
(1)
thin film
(1)
threshold
(1)
x-ray powder diffraction
(1)
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