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(33)
プレゼンテーション(1)
データセット(1)
ジャーナル(1)
キーワード
machine learning (36)
phosphor (3)
superconductors (3)
tdm (3)
Interfacial thermal resistance (2)
all solid state batteries (2)
europium (2)
inelastic mean free path (2)
materials informatics (2)
solid electrolytes (2)
(more)
ライセンス
Creative Commons BY Attribution 4.0 International (17)
In Copyright (13)
Creative Commons BY-NC Attribution-NonCommercial 4.0 International (2)
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 (32)
application/vnd.openxmlformats-officedocument.wordprocessingml.document (4)
text/csv (2)
application/zip (1)
chemical/x-cif (1)
text/markdown (1)
text/plain (1)
video/x-msvideo (1)
キーワード: machine learning
全ての絞り込みを解除
36 件のレコードが見つかりました。
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
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
Revolutionizing electronics with advanced interfacial heat management
ジャーナル論文
著者
Yen-Ju Wu
(author) (
この著者で検索
)
https://orcid.org/0000-0003-2647-3407
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Yen-Ju Wu
キーワード
Interfacial thermal resistance
,
thermal management
,
electronics
,
machine learning
刊行年月日
2024-07-17
更新時刻
2024-08-27 16:30:21 +0900
Artificial Intelligence‐Driven Nanoarchitectonics for Smart Targeted Drug Delivery
ジャーナル論文
著者
Hayeon Bae
(author) (
この著者で検索
)
Hayeon Bae
;
Hyunsub Ji
(author) (
この著者で検索
)
Hyunsub Ji
;
Konstantin Konstantinov
(author) (
この著者で検索
)
Konstantin Konstantinov
;
Ronald Sluyter
(author) (
この著者で検索
)
Ronald Sluyter
;
Katsuhiko Ariga
(author) (
この著者で検索
)
https://orcid.org/0000-0002-2445-2955
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Katsuhiko Ariga
;
Yong Ho Kim
(author) (
この著者で検索
)
Yong Ho Kim
;
Jung Ho Kim
(author) (
この著者で検索
)
Jung Ho Kim
キーワード
artificial intelligence
,
in silico optimization
,
machine learning
,
nanocarrier design
,
nanomedicine
,
targeted drug delivery
刊行年月日
2025-08-07
更新時刻
2025-10-28 12:30:13 +0900
Automatic Threshold Prediction of Photoelectron Yield Spectroscopy (PYS) by Machine Learning
ジャーナル論文
著者
YAGYU, Shinjiro
(author) (
この著者で検索
)
https://orcid.org/0000-0002-9825-5719
NIMS Researchers Directory SAMURAI
YAGYU, Shinjiro
;
YOSHITAKE, Michiko
(author) (
この著者で検索
)
YOSHITAKE, Michiko
;
CHIKYOW, Toyohiro
(author) (
この著者で検索
)
https://orcid.org/0000-0003-3860-4806
NIMS Researchers Directory SAMURAI
CHIKYOW, Toyohiro
;
NAGATA, Takahiro
(author) (
この著者で検索
)
https://orcid.org/0000-0002-8591-2943
NIMS Researchers Directory SAMURAI
NAGATA, Takahiro
キーワード
threshold
,
machine learning
,
photoelectron yield spectroscopy
刊行年月日
2020-06-10
更新時刻
2024-01-05 22:12:44 +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
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
Accelerating Materials Discovery of Novel Europium(II)-Activated Phosphors through Machine Learning Classification of Europium Valences
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
;
Yukako Kohriki
(author) (
この著者で検索
)
https://orcid.org/0000-0002-6858-1273
NIMS Researchers Directory SAMURAI
Yukako Kohriki
;
Masamichi Harada
(author) (
この著者で検索
)
https://orcid.org/0000-0002-7321-0733
NIMS Researchers Directory SAMURAI
Masamichi Harada
;
Naoto Hirosaki
(author) (
この著者で検索
)
https://orcid.org/0000-0001-9218-9557
NIMS Researchers Directory SAMURAI
Naoto Hirosaki
;
Takashi Takeda
(author) (
この著者で検索
)
https://orcid.org/0000-0003-2510-4562
NIMS Researchers Directory SAMURAI
Takashi Takeda
キーワード
phosphor
,
machine learning
,
europium
,
oxidation state
刊行年月日
2024-12-10
更新時刻
2025-11-25 08:30:03 +0900
Er-driven magnetic tunability in FePt thin films investigated via high-throughput experiments and microstructure analysis for future HAMR media
ジャーナル論文
著者
Daisuke Ogawa
(author) (
この著者で検索
)
https://orcid.org/0000-0002-4373-6435
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Daisuke Ogawa
;
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
;
Jun Uzuhashi
(author) (
この著者で検索
)
https://orcid.org/0000-0003-2023-8158
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Jun Uzuhashi
;
Yuta Sasaki
(author) (
この著者で検索
)
https://orcid.org/0000-0002-9192-4799
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Yuta Sasaki
;
Masato Kotsugi
(author) (
この著者で検索
)
Masato Kotsugi
;
Yukiko K. Takahashi
(author) (
この著者で検索
)
https://orcid.org/0000-0001-9197-7236
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Yukiko K. Takahashi
キーワード
heat-assisted magnetic recording
,
FePt
,
combinatorial
,
high throughput
,
machine learning
,
rare-earth doping
刊行年月日
2025-06-23
更新時刻
2025-07-11 08:30:48 +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
キーワード
machine learning
(36)
phosphor
(3)
superconductors
(3)
tdm
(3)
Interfacial thermal resistance
(2)
all solid state batteries
(2)
europium
(2)
inelastic mean free path
(2)
materials informatics
(2)
solid electrolytes
(2)
thermal conductivity
(2)
Eu2+
(1)
FePt
(1)
Graph neural network
(1)
LASSO
(1)
Materials informatics
(1)
NLP
(1)
PoLyInfo
(1)
TDM
(1)
Time-domain thermoreflectance
(1)
X-ray spectroscopy
(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-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)
dielectrics
(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)
epoxy
(1)
experimental testing
(1)
fatigue
(1)
growth mechanism
(1)
hMSC
(1)
heat-assisted magnetic recording
(1)
high throughput
(1)
high-cycle fatigue
(1)
high-temperature superconductivity
(1)
high-throughput first-principles calculation
(1)
in silico optimization
(1)
in situ TEM
(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-dimensional
(1)
multi-objective optimization
(1)
multiple delay
(1)
nanocarrier design
(1)
nanomedicine
(1)
novel materials search
(1)
oxidation state
(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)
sodium ion conductors
(1)
sparce modeling
(1)
spectroscopy
(1)
storage
(1)
surface roughness
(1)
targeted drug delivery
(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
>