メニュー
MDRについて
ヘルプ
お問い合わせ
Switch language
日本語
English
ログイン
ログイン
Search MDR
Home
論文・データセット
コレクション
資源タイプ
ジャーナル論文(44)
プレゼンテーション(2)
ジャーナル(1)
キーワード
machine learning (47)
materials informatics (4)
phosphor (3)
superconductors (3)
tdm (3)
Interfacial thermal resistance (2)
Materials informatics (2)
active learning (2)
all solid state batteries (2)
database (2)
(more)
ライセンス
Creative Commons BY Attribution 4.0 International (27)
In Copyright (10)
Creative Commons BY-NC Attribution-NonCommercial 4.0 International (5)
Creative Commons BY-NC-ND Attribution-NonCommercial-NoDerivs 4.0 International (2)
https://creativecommons.org/licenses/by-nc/3.0/ (1)
https://creativecommons.org/licenses/by-nc/3.0/legalcode (1)
ファイル種別
application/pdf (47)
application/zip (4)
text/plain (2)
application/vnd.openxmlformats-officedocument.wordprocessingml.document (1)
chemical/x-cif (1)
image/gif (1)
text/csv (1)
text/markdown (1)
video/x-msvideo (1)
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
47 件のレコードが見つかりました。 1件目から10件目まで表示します。
全ての絞り込みを解除
Bayesian diversity control for batch-based phase diagram determination
ジャーナル論文
著者
Peiheng Zou
(author) (
この著者で検索
)
Peiheng Zou
;
Ryo Tamura
(author) (
この著者で検索
)
https://orcid.org/0000-0002-0349-358X
NIMS Researchers Directory SAMURAI
Ryo Tamura
;
Koji Tsuda
(author) (
この著者で検索
)
https://orcid.org/0000-0002-4288-1606
NIMS Researchers Directory SAMURAI
Koji Tsuda
キーワード
phase diagram
,
machine learning
刊行年月日
2026-02-16
更新時刻
2026-04-01 14:33:21 +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
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
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
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
Development of a method to evaluate strain in weld solidification using in-situ observations with high-brightness synchrotron X-rays
ジャーナル論文
著者
Houichi Kitano
(author) (
この著者で検索
)
https://orcid.org/0000-0002-0778-574X
NIMS Researchers Directory SAMURAI
Houichi Kitano
;
Tomoya Nagira
(author) (
この著者で検索
)
https://orcid.org/0000-0002-2415-0623
NIMS Researchers Directory SAMURAI
Tomoya Nagira
;
Fumiyoshi Yoshinaka
(author) (
この著者で検索
)
https://orcid.org/0000-0003-0534-7815
NIMS Researchers Directory SAMURAI
Fumiyoshi Yoshinaka
;
Takahiro Sawaguchi
(author) (
この著者で検索
)
https://orcid.org/0000-0002-9405-002X
NIMS Researchers Directory SAMURAI
Takahiro Sawaguchi
;
Takayuki Yamashita
(author) (
この著者で検索
)
Takayuki Yamashita
;
Yasuhiro Aoki
(author) (
この著者で検索
)
Yasuhiro Aoki
;
Hidetoshi Fujii
(author) (
この著者で検索
)
Hidetoshi Fujii
キーワード
in-situ observation
,
synchrotron X-ray
,
welding technology
,
optical flow
,
machine learning
,
Strain evaluation method;
刊行年月日
2024-12-31
更新時刻
2024-11-13 12:30:30 +0900
Atomic descriptors generated from coordination polyhedra in crystal structures
ジャーナル論文
著者
Yuki Inada
(author) (
この著者で検索
)
Yuki Inada
;
Yukari Katsura
(author) (
この著者で検索
)
https://orcid.org/0000-0002-8905-2995
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Yukari Katsura
;
Masaya Kumagai
(author) (
この著者で検索
)
Masaya Kumagai
;
Kaoru Kimura
(author) (
この著者で検索
)
Kaoru Kimura
キーワード
Materials informatics
,
machine learning
,
atomic descriptors
,
coordination polyhedra
,
formation energy prediction
,
band gap prediction
刊行年月日
2021-01-01
更新時刻
2024-11-21 16:35:29 +0900
Dielectric tensor of perovskite oxides at finite temperature using equivariant graph neural network potentials
ジャーナル論文
著者
Alex Kutana
(author) (
この著者で検索
)
Nagoya University
Alex Kutana
;
Koki Yoshimochi
(author) (
この著者で検索
)
Koki Yoshimochi
;
Ryoji Asahi
(author) (
この著者で検索
)
Ryoji Asahi
キーワード
Graph neural network
,
machine learning
,
dielectrics
,
perovskite oxides
,
phase transitions
刊行年月日
2025-12-31
更新時刻
2025-07-18 10:24:15 +0900
Machine learning prediction of Young's modulus in multi component titanium based biomedical alloys using extended thermodynamic descriptors
ジャーナル論文
著者
Hassan Ahmad
(author) (
この著者で検索
)
Pakistan Institute of Engineering and Applied Sciences (PIEAS) Department of Metallurgy and Materials Engineering
Hassan Ahmad
;
Muhammad Haider
(author) (
この著者で検索
)
Muhammad Haider
;
Zafar Iqbal
(author) (
この著者で検索
)
Zafar Iqbal
;
Muhammad Zarif
(author) (
この著者で検索
)
Muhammad Zarif
;
Syed Mujtaba Ul Hassan
(author) (
この著者で検索
)
Syed Mujtaba Ul Hassan
キーワード
Titanium alloys
,
machine learning
,
biomedical alloys
,
Young’s modulus prediction
刊行年月日
2026-12-31
更新時刻
2026-07-08 16:58:38 +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
キーワード
machine learning
(47)
materials informatics
(4)
phosphor
(3)
superconductors
(3)
tdm
(3)
Interfacial thermal resistance
(2)
Materials informatics
(2)
active learning
(2)
all solid state batteries
(2)
database
(2)
descriptor
(2)
europium
(2)
materials science
(2)
solid electrolytes
(2)
thermal conductivity
(2)
database
(1)
Acoustic sensing
(1)
Alloy development
(1)
Catalyst informatics
(1)
Eu2+
(1)
FePt
(1)
Fermi surface
(1)
Graph neural network
(1)
High-resolution digital image correlation
(1)
Ionic conductivity
(1)
LASSO
(1)
Li battery
(1)
Materials Genome Initiative
(1)
Materials data analysis
(1)
Materials databases
(1)
NLP
(1)
Optimization
(1)
Photoemission spectroscopy
(1)
PoLyInfo
(1)
Strain evaluation method;
(1)
TDM
(1)
Time-domain thermoreflectance
(1)
Titanium alloys
(1)
Young’s modulus prediction
(1)
adhesive
(1)
artificial intelligence
(1)
atomic descriptors
(1)
band gap prediction
(1)
biomass
(1)
biomedical alloys
(1)
carbon
(1)
carbon nanotube
(1)
cellulose nanofiber
(1)
chemoinformatics
(1)
combinatorial
(1)
composition-based feature
(1)
computational materials search
(1)
concentrated polymer brush
(1)
coordination polyhedra
(1)
crystal growth
(1)
crystal plasticity
(1)
data analysis
(1)
data curation
(1)
data merging
(1)
data-driven analysis
(1)
data-driven research
(1)
data-driven technique
(1)
data-sheet
(1)
deep learning
(1)
density functional theory
(1)
density-functional theory
(1)
dielectric materials
(1)
dielectrics
(1)
dimensionality reduction
(1)
disturbance detection
(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)
enthalpy of mixing
(1)
epoxy
(1)
experimental testing
(1)
explainable AI
(1)
fatigue
(1)
ferroelectric
(1)
formation energy prediction
(1)
gas metal arc welding
(1)
genetic algorithm
(1)
giant magnetoresistance
(1)
grain boundary
(1)
grain size
(1)
graphene
(1)
growth mechanism
(1)
hMSC
(1)
heat-assisted magnetic recording
(1)
high throughput
(1)
high-cycle fatigue
(1)
high-temperature superconductivity
(1)
high-throughput experimentation
(1)
high-throughput first-principles calculation
(1)
in silico optimization
(1)
in situ TEM
(1)
in-process monitoring
(1)
in-situ observation
(1)
inelastic mean free path
(1)
interfacial electronic band matching
(1)
interfacial thermal resistance
(1)
interpretability
(1)
ionic conductor
(1)
linear model
(1)
liquid crystalline polymer
(1)
liquid phase
(1)
lithium metal battery
(1)
luminescence
(1)
materials design
(1)
metallic materials
(1)
molecular design
(1)
molecular dynamics simulation
(1)
multi-objective optimization
(1)
multiple delay
(1)
nanocarrier design
(1)
nanomedicine
(1)
non-negative matrix factorization
(1)
novel materials search
(1)
optical flow
(1)
oxidation state
(1)
oxidative coupling of methane
(1)
oxygen reduction reaction
(1)
peak fitting
(1)
periodic descriptor
(1)
perovskite oxides
(1)
phase diagram
(1)
phase identification
(1)
phase transitions
(1)
photoelectron yield spectroscopy
(1)
photoemission spectroscopy
(1)
physical quantities
(1)
polymer
(1)
polymer electrolyte fuel cell (PEFC)
(1)
process informatics
(1)
quantum materials
(1)
quasicrystal
(1)
random forest method
(1)
rare-earth doping
(1)
self-assembly
(1)
smart manufacturing
(1)
sodium ion conductors
(1)
spectroscopy
(1)
spintronics
(1)
storage
(1)
strain localization
(1)
structure prediction
(1)
surface roughness
(1)
synchrotron X-ray
(1)
targeted drug delivery
(1)
template substitution
(1)
thermal effusivity
(1)
thermal insulator
(1)
thermal management
(1)
thin film
(1)
threshold
(1)
welding technology
(1)
x-ray powder diffraction
(1)
RDEメタデータ定義
RDE送り状
<
1
2
3
4
5
>
絞り込み
コレクション
資源タイプ
ジャーナル論文(44)
プレゼンテーション(2)
ジャーナル(1)
キーワード
machine learning (47)
materials informatics (4)
phosphor (3)
superconductors (3)
tdm (3)
Interfacial thermal resistance (2)
Materials informatics (2)
active learning (2)
all solid state batteries (2)
database (2)
(more)
ライセンス
Creative Commons BY Attribution 4.0 International (27)
In Copyright (10)
Creative Commons BY-NC Attribution-NonCommercial 4.0 International (5)
Creative Commons BY-NC-ND Attribution-NonCommercial-NoDerivs 4.0 International (2)
https://creativecommons.org/licenses/by-nc/3.0/ (1)
https://creativecommons.org/licenses/by-nc/3.0/legalcode (1)
ファイル種別
application/pdf (47)
application/zip (4)
text/plain (2)
application/vnd.openxmlformats-officedocument.wordprocessingml.document (1)
chemical/x-cif (1)
image/gif (1)
text/csv (1)
text/markdown (1)
video/x-msvideo (1)