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(24)
プロシーディングス論文(1)
プレゼンテーション(1)
データセット(1)
キーワード
machine learning (27)
tdm (3)
all solid state batteries (2)
solid electrolytes (2)
superconductors (2)
thermal conductivity (2)
Catalyst informatics (1)
Eu2+ (1)
FePt (1)
Graph neural network (1)
(more)
ライセンス
Creative Commons BY Attribution 4.0 International (11)
In Copyright (10)
Creative Commons BY-NC Attribution-NonCommercial 4.0 International (3)
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 (25)
application/vnd.openxmlformats-officedocument.wordprocessingml.document (1)
chemical/x-cif (1)
text/csv (1)
video/x-msvideo (1)
キーワード: machine learning
全ての絞り込みを解除
27 件のレコードが見つかりました。
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
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
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
機械学習高速自動スペクトル解析ソフト“EMPeaks”について
ジャーナル論文
著者
永村 直佳
(author) (
この著者で検索
)
https://orcid.org/0000-0002-7697-8983
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
永村 直佳
;
安藤 康伸
(author) (
この著者で検索
)
安藤 康伸
キーワード
spectroscopy
,
peak fitting
,
data analysis
,
machine learning
刊行年月日
2024-10-10
更新時刻
2025-01-10 16:31:04 +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
Estimating the S-N Curve by Machine Learning Random Forest Method
ジャーナル論文
著者
Nobuo Nagashima
(author) (
この著者で検索
)
https://orcid.org/0000-0003-3588-980X
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Nobuo Nagashima
;
Masao Hayakawa
(author) (
この著者で検索
)
https://orcid.org/0000-0001-5143-8350
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Masao Hayakawa
;
Hiroyuki Masuda
(author) (
この著者で検索
)
https://orcid.org/0000-0003-2847-1616
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Hiroyuki Masuda
;
Kotobu Nagai
(author) (
この著者で検索
)
National Institute for Materials Science
Kotobu Nagai
キーワード
fatigue
,
high-cycle fatigue
,
data-sheet
,
machine learning
,
random forest method
刊行年月日
2024-04-01
更新時刻
2024-12-27 16:30:58 +0900
多次元X線計測と情報科学
ジャーナル論文
著者
永村 直佳
(author) (
この著者で検索
)
https://orcid.org/0000-0002-7697-8983
物質・材料研究機構 マテリアル基盤研究センター/先端解析分野/光電子分光グループ
NIMS Researchers Directory SAMURAI
永村 直佳
キーワード
multi-dimensional
,
X-ray spectroscopy
,
data-driven science
,
machine learning
,
sparce modeling
刊行年月日
[2025年8月]
更新時刻
2026-01-20 10:11:08 +0900
キーワード
machine learning
(27)
tdm
(3)
all solid state batteries
(2)
solid electrolytes
(2)
superconductors
(2)
thermal conductivity
(2)
Catalyst informatics
(1)
Eu2+
(1)
FePt
(1)
Graph neural network
(1)
Interfacial thermal resistance
(1)
PoLyInfo
(1)
Time-domain thermoreflectance
(1)
X-ray spectroscopy
(1)
artificial intelligence
(1)
biomass
(1)
carbon
(1)
carbon nanotube
(1)
cellulose nanofiber
(1)
combinatorial
(1)
computational materials search
(1)
concentrated polymer brush
(1)
data analysis
(1)
data-driven science
(1)
data-driven technique
(1)
data-sheet
(1)
database
(1)
dataset
(1)
deep learning
(1)
density functional theory
(1)
density-functional theory
(1)
descriptor
(1)
dielectrics
(1)
dopant
(1)
electrocatalysis
(1)
electrochemical energy storage
(1)
electrochemical interfaces
(1)
electrodeposited copper film
(1)
electronegativity
(1)
emission spectrum
(1)
energy
(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 experimentation
(1)
high-throughput first-principles calculation
(1)
in silico optimization
(1)
in situ TEM
(1)
interfacial thermal resistance
(1)
liquid crystalline polymer
(1)
luminescence
(1)
materials design
(1)
materials informatics
(1)
materials science
(1)
materials science
(1)
molecular design
(1)
molecular dynamics simulation
(1)
multi-dimensional
(1)
multiple delay
(1)
nanocarrier design
(1)
nanomedicine
(1)
novel materials search
(1)
oxidative coupling of methane
(1)
parabolic rate constant
(1)
peak fitting
(1)
perovskite oxides
(1)
phase diagram
(1)
phase identification
(1)
phase transitions
(1)
phosphor
(1)
photoemission spectroscopy
(1)
physical quantities
(1)
polymer
(1)
quantum materials
(1)
quasicrystal
(1)
random forest method
(1)
rare-earth doping
(1)
self-assembly
(1)
sodium ion conductors
(1)
sparce modeling
(1)
spectroscopy
(1)
storage
(1)
surface roughness
(1)
targeted drug delivery
(1)
thermal effusivity
(1)
thermal insulator
(1)
thin film
(1)
x-ray powder diffraction
(1)
RDEメタデータ定義
RDE送り状
<
1
2
3
>