About
Help
Contact
表示言語の変更
日本語
English
Login
Login
Search MDR
Home
Article and Dataset
Collection
Resource type
Journal article(35)
Conference paper(1)
Dataset(1)
Keyword
machine learning (37)
tdm (4)
materials informatics (3)
phosphor (3)
superconductors (3)
all solid state batteries (2)
europium (2)
inelastic mean free path (2)
solid electrolytes (2)
thermal conductivity (2)
(more)
License
Creative Commons BY Attribution 4.0 International (18)
In Copyright (12)
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)
File type
application/pdf (32)
application/vnd.openxmlformats-officedocument.wordprocessingml.document (5)
text/csv (2)
application/zip (1)
chemical/x-cif (1)
text/markdown (1)
text/plain (1)
video/x-msvideo (1)
Keyword: machine learning
Reset all filters
37 records found.
Automatic Extraction of Materials and Properties from Superconductors Scientific Literature
Journal article
Creator
Foppiano Luca
(author) (
Search by this author
)
https://orcid.org/0000-0002-6114-6164
MaDIS, NIMS
Foppiano Luca
;
Baptista de Castro, Pedro
(author) (
Search by this author
)
https://orcid.org/0000-0001-8673-2840
(unauthenticated)
MANA, NIMS
Baptista de Castro, Pedro
;
Ortiz Suarez, Pedro
(author) (
Search by this author
)
https://orcid.org/0000-0003-0343-8852
(unauthenticated)
Data and Web Science Group, University of Mannheim
Ortiz Suarez, Pedro
;
Terashima, Kensei
(author) (
Search by this author
)
https://orcid.org/0000-0003-0375-3043
MANA, NIMS
NIMS Researchers Directory SAMURAI
Terashima, Kensei
;
Takano, Yoshihiko
(author) (
Search by this author
)
https://orcid.org/0000-0002-1541-6928
MANA, NIMS
NIMS Researchers Directory SAMURAI
Takano, Yoshihiko
;
Ishii, Masashi
(author) (
Search by this author
)
https://orcid.org/0000-0002-7721-9735
(unauthenticated)
MaDIS, NIMS
Ishii, Masashi
Keyword
tdm
,
machine learning
,
materials science
,
superconductors
,
database
Date published
2022-09-15
Updated at
2022-10-16 01:44:51 +0900
Automatic Threshold Prediction of Photoelectron Yield Spectroscopy (PYS) by Machine Learning
Journal article
Creator
YAGYU, Shinjiro
(author) (
Search by this author
)
https://orcid.org/0000-0002-9825-5719
NIMS Researchers Directory SAMURAI
YAGYU, Shinjiro
;
YOSHITAKE, Michiko
(author) (
Search by this author
)
YOSHITAKE, Michiko
;
CHIKYOW, Toyohiro
(author) (
Search by this author
)
https://orcid.org/0000-0003-3860-4806
NIMS Researchers Directory SAMURAI
CHIKYOW, Toyohiro
;
NAGATA, Takahiro
(author) (
Search by this author
)
https://orcid.org/0000-0002-8591-2943
NIMS Researchers Directory SAMURAI
NAGATA, Takahiro
Keyword
threshold
,
machine learning
,
photoelectron yield spectroscopy
Date published
2020-06-10
Updated at
2024-01-05 22:12:44 +0900
Automatic Identification and Normalisation of Physical Measurements in Scientific Literature
Journal article
Creator
FOPPIANO, Luca
(author) (
Search by this author
)
https://orcid.org/0000-0002-6114-6164
FOPPIANO, Luca
;
ROMARY, Laurent
(author) (
Search by this author
)
https://orcid.org/0000-0002-0756-0508
(unauthenticated)
ROMARY, Laurent
;
ISHII, Masashi
(author) (
Search by this author
)
https://orcid.org/0000-0003-0357-2832
NIMS Researchers Directory SAMURAI
ISHII, Masashi
;
TANIFUJI, Mikiko
(author) (
Search by this author
)
https://orcid.org/0000-0001-5284-6364
TANIFUJI, Mikiko
Keyword
tdm
,
physical quantities
,
machine learning
Date published
2019-09-23
Updated at
2022-10-03 02:00:14 +0900
Semi-automatic staging area for high-quality structured data extraction from scientific literature
Journal article
Creator
Luca Foppiano
(author) (
Search by this author
)
https://orcid.org/0000-0002-6114-6164
National Institute for Materials Science
Luca Foppiano
;
Tomoya Mato
(author) (
Search by this author
)
https://orcid.org/0000-0002-0918-6468
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Tomoya Mato
;
Kensei Terashima
(author) (
Search by this author
)
https://orcid.org/0000-0003-0375-3043
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Kensei Terashima
;
Pedro Ortiz Suarez
(author) (
Search by this author
)
Pedro Ortiz Suarez
;
Taku Tou
(author) (
Search by this author
)
Taku Tou
;
Chikako Sakai
(author) (
Search by this author
)
https://orcid.org/0000-0002-0597-6825
Chikako Sakai
;
Wei-Sheng Wang
(author) (
Search by this author
)
https://orcid.org/0009-0001-3572-5736
(unauthenticated)
National Institute for Materials Science
Wei-Sheng Wang
;
Toshiyuki Amagasa
(author) (
Search by this author
)
Toshiyuki Amagasa
;
Yoshihiko Takano
(author) (
Search by this author
)
https://orcid.org/0000-0002-1541-6928
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Yoshihiko Takano
;
Masashi Ishii
(author) (
Search by this author
)
https://orcid.org/0000-0003-0357-2832
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Masashi Ishii
Keyword
materials informatics
,
superconductors
,
machine learning
,
database
,
tdm
Date published
2023-12-31
Updated at
2024-07-11 16:30:24 +0900
Acquiring and transferring comprehensive catalyst knowledge through integrated high-throughput experimentation and automatic feature engineering
Journal article
Creator
Ayu Fujiwara
(author) (
Search by this author
)
Graduate School of Advanced Science and Technology, Japan Advanced Institute of Science and Technology
Ayu Fujiwara
;
Sunao Nakanowatari
(author) (
Search by this author
)
Graduate School of Advanced Science and Technology, Japan Advanced Institute of Science and Technology
Sunao Nakanowatari
;
Yohei Cho
(author) (
Search by this author
)
Graduate School of Advanced Science and Technology, Japan Advanced Institute of Science and Technology
Yohei Cho
;
Toshiaki Taniike
(author) (
Search by this author
)
Graduate School of Advanced Science and Technology, Japan Advanced Institute of Science and Technology
Toshiaki Taniike
Keyword
Catalyst informatics
,
machine learning
,
high-throughput experimentation
,
descriptor
,
oxidative coupling of methane
Date published
2025-12-31
Updated at
2025-07-16 16:17:04 +0900
Time-domain thermoreflectance technique using multiple delayed probe pulses for high-throughput data acquisition and analysis
Journal article
Creator
Hiroto Arima
(author) (
Search by this author
)
National Metrology Institute of Japan (NMIJ), National Institute of Advanced Industrial Science and Technology (AIST)
Hiroto Arima
;
Yuichiro Yamashita
(author) (
Search by this author
)
Yuichiro Yamashita
;
Takashi Yagi
(author) (
Search by this author
)
Takashi Yagi
Keyword
Time-domain thermoreflectance
,
multiple delay
,
thin film
,
thermal effusivity
,
interfacial thermal resistance
,
machine learning
Date published
2025-12-31
Updated at
2025-07-16 16:14:58 +0900
Networking autonomous material exploration systems through transfer learning
Journal article
Creator
Naoki Yoshida
(author) (
Search by this author
)
Naoki Yoshida
;
Yutaro Iwabuchi
(author) (
Search by this author
)
Yutaro Iwabuchi
;
Yasuhiko Igarashi
(author) (
Search by this author
)
Yasuhiko Igarashi
;
Yuma Iwasaki
(author) (
Search by this author
)
https://orcid.org/0000-0002-7117-277X
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Yuma Iwasaki
Keyword
machine learning
Date published
2025-12-09
Updated at
2025-12-13 08:30:26 +0900
Supercon 2 Dataset
Dataset
Creator
Foppiano, Luca
(author) (
Search by this author
)
https://orcid.org/0000-0002-6114-6164
Foppiano, Luca
Keyword
superconductors
,
machine learning
,
dataset
,
tdm
,
materials science
Date published
2022-09-10
Updated at
2022-10-18 10:11:01 +0900
機械学習高速自動スペクトル解析ソフト“EMPeaks”について
Journal article
Creator
永村 直佳
(author) (
Search by this author
)
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) (
Search by this author
)
安藤 康伸
Keyword
spectroscopy
,
peak fitting
,
data analysis
,
machine learning
Date published
2024-10-10
Updated at
2025-01-10 16:31:04 +0900
Machine Learning as a “Catalyst” for Advancements in Carbon Nanotube Research
Journal article
Creator
Guohai Chen
(author) (
Search by this author
)
https://orcid.org/0000-0001-8481-0972
(unauthenticated)
Guohai Chen
;
Dai-Ming Tang
(author) (
Search by this author
)
https://orcid.org/0000-0001-7136-7481
NIMS Researchers Directory SAMURAI
Dai-Ming Tang
Keyword
machine learning
,
carbon nanotube
,
in situ TEM
,
growth mechanism
Date published
2024-10-22
Updated at
2024-12-24 13:58:23 +0900
Keyword
machine learning
(37)
tdm
(4)
materials informatics
(3)
phosphor
(3)
superconductors
(3)
all solid state batteries
(2)
europium
(2)
inelastic mean free path
(2)
solid electrolytes
(2)
thermal conductivity
(2)
database
(1)
Acoustic sensing
(1)
Catalyst informatics
(1)
Eu2+
(1)
FePt
(1)
Graph neural network
(1)
Interfacial thermal resistance
(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 analysis
(1)
data-sheet
(1)
database
(1)
dataset
(1)
deep learning
(1)
density functional theory
(1)
density-functional theory
(1)
descriptor
(1)
dielectrics
(1)
disturbance detection
(1)
dopant
(1)
elastic modulus
(1)
electrocatalysis
(1)
electrochemical energy storage
(1)
electrochemical interfaces
(1)
electrodeposited copper film
(1)
electronegativity
(1)
electronics
(1)
emission spectrum
(1)
energy
(1)
epoxy
(1)
experimental testing
(1)
explainable AI
(1)
fatigue
(1)
first principles calculations
(1)
gas metal arc welding
(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)
in-process monitoring
(1)
interfacial thermal resistance
(1)
interpretability
(1)
linear model
(1)
liquid crystalline polymer
(1)
lithium metal battery
(1)
luminescence
(1)
luminescent materials
(1)
materials design
(1)
materials science
(1)
materials science
(1)
molecular design
(1)
molecular dynamics simulation
(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)
parabolic rate constant
(1)
peak fitting
(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)
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)
storage
(1)
surface roughness
(1)
targeted drug delivery
(1)
thermal effusivity
(1)
thermal management
(1)
thin film
(1)
threshold
(1)
x-ray powder diffraction
(1)
RDE metadata def
RDE invoice schema
<
1
2
3
4
>