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ジャーナル論文(28)
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machine learning (31)
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キーワード: machine learning
全ての絞り込みを解除
31 件のレコードが見つかりました。
Networking autonomous material exploration systems through transfer learning
ジャーナル論文
著者
Naoki Yoshida
(author) (
この著者で検索
)
Naoki Yoshida
;
Yutaro Iwabuchi
(author) (
この著者で検索
)
Yutaro Iwabuchi
;
Yasuhiko Igarashi
(author) (
この著者で検索
)
Yasuhiko Igarashi
;
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
キーワード
machine learning
刊行年月日
2025-12-09
更新時刻
2025-12-13 08:30:26 +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
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—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) (
この著者で検索
)
Apsana Sharma
;
Ferdous Sohel
(author) (
この著者で検索
)
Ferdous Sohel
;
Almantas Pivrikas
(author) (
この著者で検索
)
https://orcid.org/0000-0002-7713-2154
(unauthenticated)
Almantas Pivrikas
;
Pragati A. Shinde
(author) (
この著者で検索
)
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
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
Capacity Estimation and Knee Point Prediction Using Electrochemical Impedance Spectroscopy for Lithium Metal Battery Degradation via Machine Learning
ジャーナル論文
著者
Qianli Si
(author) (
この著者で検索
)
National Institute for Materials Science
Qianli Si
;
Shoichi Matsuda
(author) (
この著者で検索
)
https://orcid.org/0000-0002-0640-3404
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Shoichi Matsuda
;
Yasunobu Ando
(author) (
この著者で検索
)
Yasunobu Ando
;
Toshiyuki Momma
(author) (
この著者で検索
)
Toshiyuki Momma
;
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
lithium metal battery
,
machine learning
刊行年月日
2025-05-05
更新時刻
2025-09-09 12:30:20 +0900
Rapid discovery of new Eu2+-activated phosphors with a designed luminescence color using a data-driven approach
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
National Institute for Materials Science Research and Services Division of Materials Data and Integrated System
NIMS Researchers Directory SAMURAI
Yukinori Koyama
;
Hidekazu Ikeno
(author) (
この著者で検索
)
Osaka Metropolitan University
Hidekazu Ikeno
;
Masamichi Harada
(author) (
この著者で検索
)
National Institute for Materials Science Research Center for Functional Materials
Masamichi Harada
;
Shiro Funahashi
(author) (
この著者で検索
)
National Institute for Materials Science Research Center for Functional Materials
Shiro Funahashi
;
Takashi Takeda
(author) (
この著者で検索
)
https://orcid.org/0000-0003-2510-4562
National Institute for Materials Science Research Center for Functional Materials
NIMS Researchers Directory SAMURAI
Takashi Takeda
;
Naoto Hirosaki
(author) (
この著者で検索
)
National Institute for Materials Science Research Center for Functional Materials
Naoto Hirosaki
キーワード
phosphor
,
materials design
,
machine learning
,
luminescence
,
emission spectrum
,
Eu2+
刊行年月日
2022-11-29
更新時刻
2024-01-05 22:11:23 +0900
Discovery of liquid crystalline polymers with high thermal conductivity using machine learning
ジャーナル論文
著者
Hayato Maeda
(author) (
この著者で検索
)
https://orcid.org/0009-0004-1662-8000
(unauthenticated)
Hayato Maeda
;
Stephen Wu
(author) (
この著者で検索
)
https://orcid.org/0000-0002-7847-8106
(unauthenticated)
Stephen Wu
;
Rika Marui
(author) (
この著者で検索
)
https://orcid.org/0009-0009-2506-1196
(unauthenticated)
Rika Marui
;
Erina Yoshida
(author) (
この著者で検索
)
Erina Yoshida
;
Kan Hatakeyama-Sato
(author) (
この著者で検索
)
Kan Hatakeyama-Sato
;
Yuta Nabae
(author) (
この著者で検索
)
Yuta Nabae
;
Shiori Nakagawa
(author) (
この著者で検索
)
Shiori Nakagawa
;
Meguya Ryu
(author) (
この著者で検索
)
Meguya Ryu
;
Ryohei Ishige
(author) (
この著者で検索
)
Ryohei Ishige
;
Yoh Noguchi
(author) (
この著者で検索
)
Yoh Noguchi
;
Yoshihiro Hayashi
(author) (
この著者で検索
)
https://orcid.org/0000-0002-7650-4083
(unauthenticated)
Yoshihiro Hayashi
;
Masashi Ishii
(author) (
この著者で検索
)
https://orcid.org/0000-0003-0357-2832
NIMS Researchers Directory SAMURAI
Masashi Ishii
;
Isao Kuwajima
(author) (
この著者で検索
)
https://orcid.org/0000-0002-5994-3834
NIMS Researchers Directory SAMURAI
Isao Kuwajima
;
Felix Jiang
(author) (
この著者で検索
)
Felix Jiang
;
Xuan Thang Vu
(author) (
この著者で検索
)
Xuan Thang Vu
;
Sven Ingebrandt
(author) (
この著者で検索
)
https://orcid.org/0000-0002-0405-2727
(unauthenticated)
Sven Ingebrandt
;
Masatoshi Tokita
(author) (
この著者で検索
)
Masatoshi Tokita
;
Junko Morikawa
(author) (
この著者で検索
)
https://orcid.org/0000-0002-9530-9478
(unauthenticated)
Junko Morikawa
;
Ryo Yoshida
(author) (
この著者で検索
)
https://orcid.org/0000-0001-8092-0162
(unauthenticated)
Ryo Yoshida
;
Teruaki Hayakawa
(author) (
この著者で検索
)
Teruaki Hayakawa
キーワード
liquid crystalline polymer
,
thermal conductivity
,
machine learning
,
PoLyInfo
刊行年月日
2025-07-02
更新時刻
2025-08-19 12:30:21 +0900
Time-domain thermoreflectance technique using multiple delayed probe pulses for high-throughput data acquisition and analysis
ジャーナル論文
著者
Hiroto Arima
(author) (
この著者で検索
)
National Institute of Advanced Industrial Science and Technology (AIST) National Metrology Institute of Japan (NMIJ)
Hiroto Arima
;
Yuichiro Yamashita
(author) (
この著者で検索
)
Yuichiro Yamashita
;
Takashi Yagi
(author) (
この著者で検索
)
Takashi Yagi
キーワード
Time-domain thermoreflectance
,
multiple delay
,
thin film
,
thermal effusivity
,
interfacial thermal resistance
,
machine learning
刊行年月日
2025-12-31
更新時刻
2025-07-16 16:14:58 +0900
Machine Learning as a “Catalyst” for Advancements in Carbon Nanotube Research
ジャーナル論文
著者
Guohai Chen
(author) (
この著者で検索
)
https://orcid.org/0000-0001-8481-0972
(unauthenticated)
Guohai Chen
;
Dai-Ming Tang
(author) (
この著者で検索
)
https://orcid.org/0000-0001-7136-7481
NIMS Researchers Directory SAMURAI
Dai-Ming Tang
キーワード
machine learning
,
carbon nanotube
,
in situ TEM
,
growth mechanism
刊行年月日
2024-10-22
更新時刻
2024-12-24 13:58:23 +0900
キーワード
machine learning
(31)
phosphor
(3)
all solid state batteries
(2)
europium
(2)
inelastic mean free path
(2)
materials informatics
(2)
solid electrolytes
(2)
superconductors
(2)
tdm
(2)
thermal conductivity
(2)
Eu2+
(1)
FePt
(1)
Graph neural network
(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-sheet
(1)
database
(1)
dataset
(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)
electronegativity
(1)
emission spectrum
(1)
energy
(1)
epoxy
(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 silico optimization
(1)
in situ TEM
(1)
interfacial thermal resistance
(1)
interpretability
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linear model
(1)
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(1)
lithium metal battery
(1)
luminescence
(1)
materials design
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materials science
(1)
materials science
(1)
molecular design
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(1)
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(1)
multiple delay
(1)
nanocarrier design
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nanomedicine
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oxidation state
(1)
parabolic rate constant
(1)
periodic descriptor
(1)
perovskite oxides
(1)
phase diagram
(1)
phase identification
(1)
phase transitions
(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)
storage
(1)
structure prediction
(1)
surface phase diagram
(1)
surface roughness
(1)
targeted drug delivery
(1)
template substitution
(1)
thermal effusivity
(1)
thin film
(1)
x-ray powder diffraction
(1)
RDEメタデータ定義
RDE送り状
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