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論文・データセット
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ジャーナル論文(22)
データセット(1)
キーワード
machine learning (23)
tdm (3)
all solid state batteries (2)
materials informatics (2)
phosphor (2)
solid electrolytes (2)
superconductors (2)
thermal conductivity (2)
Eu2+ (1)
FePt (1)
(more)
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キーワード: machine learning
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23 件のレコードが見つかりました。
Supercon 2 Dataset
データセット
著者
Foppiano, Luca
(author) (
この著者で検索
)
https://orcid.org/0000-0002-6114-6164
Foppiano, Luca
キーワード
superconductors
,
machine learning
,
dataset
,
tdm
,
materials science
刊行年月日
2022-09-10
更新時刻
2022-10-18 10:11:01 +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
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
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) (
この著者で検索
)
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
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
Unveiling the principle descriptor for predicting the electron inelastic mean free path based on a machine learning framework
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
;
Zhufeng Hou
(author) (
この著者で検索
)
Zhufeng Hou
;
Dabao Lu
(author) (
この著者で検索
)
Dabao Lu
;
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
;
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
,
LASSO
刊行年月日
2019-12-31
更新時刻
2024-09-05 16:30:30 +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
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
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
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
キーワード
machine learning
(23)
tdm
(3)
all solid state batteries
(2)
materials informatics
(2)
phosphor
(2)
solid electrolytes
(2)
superconductors
(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)
biomass
(1)
carbon
(1)
carbon nanotube
(1)
combinatorial
(1)
composition-based feature
(1)
computational materials search
(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)
emission spectrum
(1)
energy
(1)
epoxy
(1)
europium
(1)
experimental testing
(1)
growth mechanism
(1)
heat-assisted magnetic recording
(1)
high throughput
(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)
liquid crystalline polymer
(1)
lithium metal battery
(1)
luminescence
(1)
materials design
(1)
materials science
(1)
materials science
(1)
molecular design
(1)
molecular dynamics simulation
(1)
multi-objective optimization
(1)
multiple delay
(1)
novel materials search
(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)
sodium ion conductors
(1)
storage
(1)
surface roughness
(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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