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(39)
プレゼンテーション(2)
ジャーナル(1)
キーワード
machine learning (42)
materials informatics (4)
phosphor (3)
superconductors (3)
tdm (3)
Interfacial thermal resistance (2)
all solid state batteries (2)
descriptor (2)
europium (2)
solid electrolytes (2)
(more)
ライセンス
Creative Commons BY Attribution 4.0 International (23)
In Copyright (11)
Creative Commons BY-NC Attribution-NonCommercial 4.0 International (4)
Creative Commons BY-NC-ND Attribution-NonCommercial-NoDerivs 4.0 International (1)
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 (42)
application/zip (3)
text/plain (2)
application/vnd.openxmlformats-officedocument.wordprocessingml.document (1)
chemical/x-cif (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
42 件のレコードが見つかりました。
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
Self-Energy Spectroscopy and Artificial Neural Network
ジャーナル論文
著者
Youhei Yamaji
(author) (
この著者で検索
)
https://orcid.org/0000-0002-4055-8792
NIMS Researchers Directory SAMURAI
Youhei Yamaji
キーワード
machine learning
,
quantum materials
,
photoemission spectroscopy
,
high-temperature superconductivity
刊行年月日
2025-03-15
更新時刻
2025-02-27 12:30:42 +0900
Automatic extraction of materials and properties from superconductors scientific literature
ジャーナル
著者
Luca Foppiano
(author) (
この著者で検索
)
https://orcid.org/0000-0002-6114-6164
NIMS MaDIS
Luca Foppiano
;
Pedro Baptista Castro
(author) (
この著者で検索
)
https://orcid.org/0000-0001-8673-2840
(unauthenticated)
NIMS MANA
Pedro Baptista Castro
;
Pedro Ortiz Suarez
(author) (
この著者で検索
)
https://orcid.org/0000-0003-0343-8852
(unauthenticated)
University of Mannheim Data and Web Science Group
Pedro Ortiz Suarez
;
Kensei Terashima
(author) (
この著者で検索
)
https://orcid.org/0000-0003-0375-3043
NIMS MANA
NIMS Researchers Directory SAMURAI
Kensei Terashima
;
Yoshihiko Takano
(author) (
この著者で検索
)
https://orcid.org/0000-0002-1541-6928
NIMS MANA
NIMS Researchers Directory SAMURAI
Yoshihiko Takano
;
Masashi Ishii
(author) (
この著者で検索
)
https://orcid.org/0000-0003-0357-2832
NIMS MaDIS
NIMS Researchers Directory SAMURAI
Masashi Ishii
キーワード
Materials informatics
,
superconductors
,
machine learning
,
NLP
,
TDM
刊行年月日
2023-12-31
更新時刻
2024-01-05 22:12:53 +0900
Automatic Extraction of Materials and Properties from Superconductors Scientific Literature
ジャーナル論文
著者
Foppiano Luca
(author) (
この著者で検索
)
https://orcid.org/0000-0002-6114-6164
NIMS MaDIS
Foppiano Luca
;
Baptista de Castro, Pedro
(author) (
この著者で検索
)
https://orcid.org/0000-0001-8673-2840
(unauthenticated)
NIMS MANA
Baptista de Castro, Pedro
;
Ortiz Suarez, Pedro
(author) (
この著者で検索
)
https://orcid.org/0000-0003-0343-8852
(unauthenticated)
University of Mannheim Data and Web Science Group
Ortiz Suarez, Pedro
;
Terashima, Kensei
(author) (
この著者で検索
)
https://orcid.org/0000-0003-0375-3043
NIMS MANA
NIMS Researchers Directory SAMURAI
Terashima, Kensei
;
Takano, Yoshihiko
(author) (
この著者で検索
)
https://orcid.org/0000-0002-1541-6928
NIMS MANA
NIMS Researchers Directory SAMURAI
Takano, Yoshihiko
;
Ishii, Masashi
(author) (
この著者で検索
)
https://orcid.org/0000-0002-7721-9735
(unauthenticated)
NIMS MaDIS
Ishii, Masashi
キーワード
tdm
,
machine learning
,
materials science
,
superconductors
,
database
刊行年月日
2022-09-15
更新時刻
2022-10-16 01:44:51 +0900
Automatic Identification and Normalisation of Physical Measurements in Scientific Literature
ジャーナル論文
著者
FOPPIANO, Luca
(author) (
この著者で検索
)
https://orcid.org/0000-0002-6114-6164
FOPPIANO, Luca
;
ROMARY, Laurent
(author) (
この著者で検索
)
https://orcid.org/0000-0002-0756-0508
(unauthenticated)
ROMARY, Laurent
;
ISHII, Masashi
(author) (
この著者で検索
)
https://orcid.org/0000-0003-0357-2832
NIMS Researchers Directory SAMURAI
ISHII, Masashi
;
TANIFUJI, Mikiko
(author) (
この著者で検索
)
https://orcid.org/0000-0001-5284-6364
TANIFUJI, Mikiko
キーワード
tdm
,
physical quantities
,
machine learning
刊行年月日
2019-09-23
更新時刻
2022-10-03 02:00:14 +0900
Semi-automatic staging area for high-quality structured data extraction from scientific literature
ジャーナル論文
著者
Luca Foppiano
(author) (
この著者で検索
)
https://orcid.org/0000-0002-6114-6164
National Institute for Materials Science
Luca Foppiano
;
Tomoya Mato
(author) (
この著者で検索
)
https://orcid.org/0000-0002-0918-6468
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Tomoya Mato
;
Kensei Terashima
(author) (
この著者で検索
)
https://orcid.org/0000-0003-0375-3043
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Kensei Terashima
;
Pedro Ortiz Suarez
(author) (
この著者で検索
)
Pedro Ortiz Suarez
;
Taku Tou
(author) (
この著者で検索
)
Taku Tou
;
Chikako Sakai
(author) (
この著者で検索
)
https://orcid.org/0000-0002-0597-6825
Chikako Sakai
;
Wei-Sheng Wang
(author) (
この著者で検索
)
https://orcid.org/0009-0001-3572-5736
(unauthenticated)
National Institute for Materials Science
Wei-Sheng Wang
;
Toshiyuki Amagasa
(author) (
この著者で検索
)
Toshiyuki Amagasa
;
Yoshihiko Takano
(author) (
この著者で検索
)
https://orcid.org/0000-0002-1541-6928
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Yoshihiko Takano
;
Masashi Ishii
(author) (
この著者で検索
)
https://orcid.org/0000-0003-0357-2832
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Masashi Ishii
キーワード
materials informatics
,
superconductors
,
machine learning
,
database
,
tdm
刊行年月日
2023-12-31
更新時刻
2024-07-11 16:30:24 +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
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
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
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
キーワード
machine learning
(42)
materials informatics
(4)
phosphor
(3)
superconductors
(3)
tdm
(3)
Interfacial thermal resistance
(2)
all solid state batteries
(2)
descriptor
(2)
europium
(2)
solid electrolytes
(2)
thermal conductivity
(2)
database
(1)
Acoustic sensing
(1)
Alloy development
(1)
Catalyst informatics
(1)
Eu2+
(1)
FePt
(1)
Graph neural network
(1)
High-resolution digital image correlation
(1)
Ionic conductivity
(1)
LASSO
(1)
Li battery
(1)
Materials Genome Initiative
(1)
Materials databases
(1)
Materials informatics
(1)
NLP
(1)
Optimization
(1)
PoLyInfo
(1)
TDM
(1)
Time-domain thermoreflectance
(1)
Titanium alloys
(1)
X-ray spectroscopy
(1)
Young’s modulus prediction
(1)
active learning
(1)
adhesive
(1)
artificial intelligence
(1)
biomass
(1)
biomedical alloys
(1)
carbon
(1)
carbon nanotube
(1)
cellulose nanofiber
(1)
combinatorial
(1)
composition-based feature
(1)
computational materials search
(1)
concentrated polymer brush
(1)
crystal growth
(1)
crystal plasticity
(1)
data analysis
(1)
data merging
(1)
data-driven research
(1)
data-driven science
(1)
data-driven technique
(1)
data-sheet
(1)
database
(1)
deep learning
(1)
density functional theory
(1)
density-functional theory
(1)
dielectrics
(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)
gas metal arc welding
(1)
genetic algorithm
(1)
grain boundary
(1)
grain size
(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)
inelastic mean free path
(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)
materials science
(1)
metallic materials
(1)
molecular design
(1)
molecular dynamics simulation
(1)
multi-dimensional
(1)
multi-objective optimization
(1)
multiple delay
(1)
nanocarrier design
(1)
nanomedicine
(1)
novel materials search
(1)
oxidation state
(1)
oxidative coupling of methane
(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)
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)
sparce modeling
(1)
spectroscopy
(1)
storage
(1)
strain localization
(1)
structure prediction
(1)
surface roughness
(1)
targeted drug delivery
(1)
template substitution
(1)
thermal effusivity
(1)
thermal insulator
(1)
thermal management
(1)
thin film
(1)
threshold
(1)
x-ray powder diffraction
(1)
RDEメタデータ定義
RDE送り状
<
1
2
3
4
5
>