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(30)
キーワード
machine learning (30)
phosphor (3)
all solid state batteries (2)
europium (2)
materials informatics (2)
solid electrolytes (2)
tdm (2)
thermal conductivity (2)
Acoustic sensing (1)
Eu2+ (1)
(more)
ライセンス
Creative Commons BY Attribution 4.0 International (16)
In Copyright (8)
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 (30)
application/vnd.openxmlformats-officedocument.wordprocessingml.document (1)
application/zip (1)
chemical/x-cif (1)
text/csv (1)
text/markdown (1)
text/plain (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
30 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
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
Development of an AI-based acoustic disturbance-detection method for robotic arc welding processes
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
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Houichi Kitano
;
Masaki Kobayashi
(author) (
この著者で検索
)
https://orcid.org/0000-0002-5161-2600
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Masaki Kobayashi
;
Masahiko Demura
(author) (
この著者で検索
)
https://orcid.org/0000-0002-7308-3041
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Masahiko Demura
キーワード
Acoustic sensing
,
in-process monitoring
,
gas metal arc welding
,
disturbance detection
,
machine learning
,
explainable AI
,
smart manufacturing
刊行年月日
2026-12-31
更新時刻
2026-06-25 09:51:40 +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
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
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
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
2023 Roadmap on molecular modelling of electrochemical energy materials
ジャーナル論文
著者
Chao Zhang
(author) (
この著者で検索
)
Chao Zhang
;
Jun Cheng
(author) (
この著者で検索
)
Jun Cheng
;
Yiming Chen
(author) (
この著者で検索
)
Yiming Chen
;
Maria K Y Chan
(author) (
この著者で検索
)
Maria K Y Chan
;
Qiong Cai
(author) (
この著者で検索
)
Qiong Cai
;
Rodrigo P Carvalho
(author) (
この著者で検索
)
Rodrigo P Carvalho
;
Cleber F N Marchiori
(author) (
この著者で検索
)
Cleber F N Marchiori
;
Daniel Brandell
(author) (
この著者で検索
)
Daniel Brandell
;
C Moyses Araujo
(author) (
この著者で検索
)
C Moyses Araujo
;
Ming Chen
(author) (
この著者で検索
)
Ming Chen
;
Xiangyu Ji
(author) (
この著者で検索
)
Xiangyu Ji
;
Guang Feng
(author) (
この著者で検索
)
Guang Feng
;
Kateryna Goloviznina
(author) (
この著者で検索
)
Kateryna Goloviznina
;
Alessandra Serva
(author) (
この著者で検索
)
Alessandra Serva
;
Mathieu Salanne
(author) (
この著者で検索
)
Mathieu Salanne
;
Toshihiko Mandai
(author) (
この著者で検索
)
https://orcid.org/0000-0002-2403-7794
National Institute for Materials Science (NIMS)
NIMS Researchers Directory SAMURAI
Toshihiko Mandai
;
Tomooki Hosaka
(author) (
この著者で検索
)
Tomooki Hosaka
;
Mirna Alhanash
(author) (
この著者で検索
)
Mirna Alhanash
;
Patrik Johansson
(author) (
この著者で検索
)
Patrik Johansson
;
Yun-Ze Qiu
(author) (
この著者で検索
)
Yun-Ze Qiu
;
Hai Xiao
(author) (
この著者で検索
)
Hai Xiao
;
Michael Eikerling
(author) (
この著者で検索
)
Michael Eikerling
;
Ryosuke Jinnouchi
(author) (
この著者で検索
)
Ryosuke Jinnouchi
;
Marko M Melander
(author) (
この著者で検索
)
Marko M Melander
;
Georg Kastlunger
(author) (
この著者で検索
)
Georg Kastlunger
;
Assil Bouzid
(author) (
この著者で検索
)
Assil Bouzid
;
Alfredo Pasquarello
(author) (
この著者で検索
)
Alfredo Pasquarello
;
Seung-Jae Shin
(author) (
この著者で検索
)
Seung-Jae Shin
;
Minho M Kim
(author) (
この著者で検索
)
Minho M Kim
;
Hyungjun Kim
(author) (
この著者で検索
)
Hyungjun Kim
;
Kathleen Schwarz
(author) (
この著者で検索
)
Kathleen Schwarz
;
Ravishankar Sundararaman
(author) (
この著者で検索
)
Ravishankar Sundararaman
キーワード
electrochemical interfaces
,
density-functional theory
,
molecular dynamics simulation
,
electrochemical energy storage
,
machine learning
,
electrocatalysis
刊行年月日
2023-10-01
更新時刻
2024-03-22 00:53:39 +0900
Machine Learning—Guided Design of Biomass‐Based Porous Carbon for Aqueous Symmetric Supercapacitors
ジャーナル論文
著者
Manickam Minakshi
(author) (
この著者で検索
)
https://orcid.org/0000-0001-6558-8317
(unauthenticated)
Manickam Minakshi
;
Apsana Sharma
(author) (
この著者で検索
)
Apsana Sharma
;
Ferdous Sohel
(author) (
この著者で検索
)
Ferdous Sohel
;
Almantas Pivrikas
(author) (
この著者で検索
)
https://orcid.org/0000-0002-7713-2154
(unauthenticated)
Almantas Pivrikas
;
Pragati A. Shinde
(author) (
この著者で検索
)
https://orcid.org/0000-0003-1730-2374
(unauthenticated)
Pragati A. Shinde
;
Katsuhiko Ariga
(author) (
この著者で検索
)
https://orcid.org/0000-0002-2445-2955
NIMS Researchers Directory SAMURAI
Katsuhiko Ariga
;
Lok Kumar Shrestha
(author) (
この著者で検索
)
https://orcid.org/0000-0003-2680-6291
NIMS Researchers Directory SAMURAI
Lok Kumar Shrestha
キーワード
biomass
,
carbon
,
dopant
,
energy
,
machine learning
,
storage
刊行年月日
2025-10-09
更新時刻
2025-10-21 16:06:10 +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
キーワード
machine learning
(30)
phosphor
(3)
all solid state batteries
(2)
europium
(2)
materials informatics
(2)
solid electrolytes
(2)
tdm
(2)
thermal conductivity
(2)
Acoustic sensing
(1)
Eu2+
(1)
FePt
(1)
Graph neural network
(1)
Interfacial thermal resistance
(1)
LASSO
(1)
PoLyInfo
(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-driven science
(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)
epoxy
(1)
experimental testing
(1)
explainable AI
(1)
fatigue
(1)
gas metal arc welding
(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)
in-process monitoring
(1)
inelastic mean free path
(1)
interfacial thermal resistance
(1)
interpretability
(1)
linear model
(1)
liquid crystalline polymer
(1)
lithium metal battery
(1)
luminescence
(1)
materials design
(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)
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)
sparce modeling
(1)
storage
(1)
superconductors
(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メタデータ定義
RDE送り状
<
1
2
3
>