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論文・データセット
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Carbon Nanotubes (1)
Cellulose nanofiber (1)
Coercivity (1)
Concentrated polymer brush (1)
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キーワード: Machine learning
全ての絞り込みを解除
11 件のレコードが見つかりました。 1件目から10件目まで表示します。
全ての絞り込みを解除
Data-driven analysis of hydrogen embrittlement in martensitic steels with interpretable machine learning
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
NIMS Researchers Directory SAMURAI
Houichi Kitano
;
Yuuji Kimura
(author) (
この著者で検索
)
https://orcid.org/0000-0002-8907-0704
NIMS Researchers Directory SAMURAI
Yuuji Kimura
;
Akinobu Shibata
(author) (
この著者で検索
)
https://orcid.org/0000-0001-8577-6411
NIMS Researchers Directory SAMURAI
Akinobu Shibata
キーワード
Hydrogen embrittlement
,
Martensitic steel
,
Machine learning
,
hap (shapley additive explanations)
,
Symbolic regression
刊行年月日
2026-04-23
更新時刻
2026-06-17 09:57:29 +0900
Process parameters and magnetic properties (coercivity, remanence, squareness, maximum energy product) of data-driven fabrication of Nd-Fe-B anisotropic magnets by direct hot extrusion.
データセット
著者
Lambard, Guillaume
(author) (
この著者で検索
)
https://orcid.org/0000-0003-0275-4079
NIMS Researchers Directory SAMURAI
Lambard, Guillaume
;
Sasaki, Taisuke
(author) (
この著者で検索
)
https://orcid.org/0000-0002-5952-7638
NIMS Researchers Directory SAMURAI
Sasaki, Taisuke
;
Sodeyama, Keitaro
(author) (
この著者で検索
)
https://orcid.org/0000-0002-9228-0729
NIMS Researchers Directory SAMURAI
Sodeyama, Keitaro
;
Ohkubo, Tadakatsu
(author) (
この著者で検索
)
https://orcid.org/0000-0003-3548-1951
NIMS Researchers Directory SAMURAI
Ohkubo, Tadakatsu
;
Hono, Kazuhiro
(author) (
この著者で検索
)
https://orcid.org/0000-0001-7367-0193
NIMS Researchers Directory SAMURAI
Hono, Kazuhiro
キーワード
Maximum energy product
,
Coercivity
,
Squareness
,
Machine learning
,
Remanence
,
Process
,
Bayesian Optimization
,
Hot extrusion
,
Active learning
,
Nd-Fe-B magnet
刊行年月日
2021-10-11
更新時刻
2022-10-03 02:01:08 +0900
In Situ Forming Supramolecular Nanofiber Hydrogel as a Biodegradable Liquid Embolic Agent for Postembolization Tissue Remodeling
ジャーナル論文
著者
Akihiro Nishiguchi
(author) (
この著者で検索
)
https://orcid.org/0000-0002-3160-6385
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Akihiro Nishiguchi
;
Miho Ohta
(author) (
この著者で検索
)
Miho Ohta
;
Debabrata Palai
(author) (
この著者で検索
)
https://orcid.org/0000-0003-1192-6143
National Institute for Materials Science
Debabrata Palai
;
Shima Ito
(author) (
この著者で検索
)
https://orcid.org/0000-0002-3233-617X
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Shima Ito
;
Kensaku Mori
(author) (
この著者で検索
)
Kensaku Mori
;
Ryotaro Akagi
(author) (
この著者で検索
)
Ryotaro Akagi
;
Christophe Bajan
(author) (
この著者で検索
)
https://orcid.org/0009-0008-1433-9618
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Christophe Bajan
;
Guillaume Lambard
(author) (
この著者で検索
)
https://orcid.org/0000-0003-0275-4079
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Guillaume Lambard
;
Keitaro Sodeyama
(author) (
この著者で検索
)
https://orcid.org/0000-0002-9228-0729
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Keitaro Sodeyama
;
Tetsushi Taguchi
(author) (
この著者で検索
)
https://orcid.org/0000-0003-2541-2530
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Tetsushi Taguchi
キーワード
Hydrogel
,
Embolic agent
,
Machine learning
刊行年月日
2024-11-07
更新時刻
2025-02-26 16:30:29 +0900
A straightforward gradient-based approach for designing superconductors with high critical temperature: exploiting domain knowledge
via
adaptive constraints
ジャーナル論文
著者
Akihiro Fujii
(author) (
この著者で検索
)
Akihiro Fujii
;
Anh Khoa Augustin Lu
(author) (
この著者で検索
)
https://orcid.org/0000-0003-4702-0933
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Anh Khoa Augustin Lu
;
Koji Shimizu
(author) (
この著者で検索
)
Koji Shimizu
;
Satoshi Watanabe
(author) (
この著者で検索
)
https://orcid.org/0000-0002-8069-6938
(unauthenticated)
National Institute for Materials Science
Satoshi Watanabe
キーワード
Gradient-based optimization
,
Superconductor
,
Domain knowledge integration
,
Materials discovery
,
Critical temperature
,
Machine learning
刊行年月日
2025-10-29
更新時刻
2026-05-18 14:53:14 +0900
Data-Driven Development of Magnetic Materials
プレゼンテーション
著者
BOLYACHKIN Anton
(author) (
この著者で検索
)
https://orcid.org/0000-0003-0420-1806
National Institute for Materials Science Global Networking Division/International Center for Young Scientists
NIMS Researchers Directory SAMURAI
BOLYACHKIN Anton
;
SEPEHRI AMIN Hossein
(author) (
この著者で検索
)
https://orcid.org/0000-0002-7856-7897
National Institute for Materials Science Research Center for Magnetic and Spintronic Materials/Magnetic Materials Analysis Group
NIMS Researchers Directory SAMURAI
SEPEHRI AMIN Hossein
;
OHKUBO Tadakatsu
(author) (
この著者で検索
)
https://orcid.org/0000-0003-3548-1951
National Institute for Materials Science Research Center for Magnetic and Spintronic Materials
NIMS Researchers Directory SAMURAI
OHKUBO Tadakatsu
キーワード
Nd-Fe-B magnets
,
Magnetocaloric materials
,
Magnetic recodring
,
Machine learning
刊行年月日
更新時刻
2024-10-16 16:30:20 +0900
Automated synthesis and fragment descriptor-based machine learning for retention time prediction in supercritical fluid chromatography
ジャーナル論文
著者
Sitanan Sartyoungkul
(author) (
この著者で検索
)
Sitanan Sartyoungkul
;
Balasubramaniyan Sakthivel
(author) (
この著者で検索
)
Balasubramaniyan Sakthivel
;
Pavel Sidorov
(author) (
この著者で検索
)
https://orcid.org/0000-0001-6462-702X
(unauthenticated)
Pavel Sidorov
;
Yuuya Nagata
(author) (
この著者で検索
)
https://orcid.org/0000-0001-5926-5845
(unauthenticated)
Yuuya Nagata
キーワード
Automated synthesis
,
Fragment descriptor
,
Machine learning
,
Retention time prediction
,
Supercritical fluid chromatography
刊行年月日
2025-11-26
更新時刻
2025-12-24 15:05:55 +0900
Advances in Carbon Nanotubes: Synthesis, Properties, and Cutting-Edge Applications
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
Carbon Nanotubes
,
Synthesis
,
Properties
,
Machine learning
刊行年月日
2025-10-20
更新時刻
2025-12-13 08:30:03 +0900
Active learning for predicting the enthalpy of mixing in binary liquids based on ab initio molecular dynamics
ジャーナル論文
著者
Quentin Bizot
(author) (
この著者で検索
)
https://orcid.org/0000-0002-4314-2266
(unauthenticated)
Quentin Bizot
;
Ryo Tamura
(author) (
この著者で検索
)
https://orcid.org/0000-0002-0349-358X
NIMS Researchers Directory SAMURAI
Ryo Tamura
;
Guillaume Deffrennes
(author) (
この著者で検索
)
https://orcid.org/0000-0002-3752-2537
(unauthenticated)
Guillaume Deffrennes
キーワード
CALPHAD
,
Machine learning
刊行年月日
2026-02-07
更新時刻
2026-04-01 13:44:57 +0900
Machine Learning to Predict Multicellular Dynamics Driven by Concentrated Polymer Brush-Modified Cellulose Nanofibers
プレゼンテーション
著者
Chiaki Yoshikawa
(author) (
この著者で検索
)
https://orcid.org/0000-0002-6589-387X
National Institute for Materials Science Research Center for Macromolecules and Biomaterials/Macromolecules Field/Polymer Surfaces and Devices Team
NIMS Researchers Directory SAMURAI
Chiaki Yoshikawa
;
Hiroshi Mamitsuka
(author) (
この著者で検索
)
Hiroshi Mamitsuka
キーワード
Machine learning
,
Multicellular dynamics
,
Concentrated polymer brush
,
Cellulose nanofiber
刊行年月日
更新時刻
2025-11-06 12:30:42 +0900
From Random Networks to AI-Driven Glass Design
プレゼンテーション
著者
N. M. Anoop Krishnan
(author) (
この著者で検索
)
Indian Institute of Technology Delhi Department of Civil Engineering
N. M. Anoop Krishnan
キーワード
Machine learning
,
AI-Driven Glass Design
刊行年月日
更新時刻
2025-09-25 16:30:42 +0900
キーワード
Machine learning
(11)
AI-Driven Glass Design
(1)
Active learning
(1)
Automated synthesis
(1)
Bayesian Optimization
(1)
CALPHAD
(1)
Carbon Nanotubes
(1)
Cellulose nanofiber
(1)
Coercivity
(1)
Concentrated polymer brush
(1)
Critical temperature
(1)
Domain knowledge integration
(1)
Embolic agent
(1)
Fragment descriptor
(1)
Gradient-based optimization
(1)
Hot extrusion
(1)
Hydrogel
(1)
Hydrogen embrittlement
(1)
Magnetic recodring
(1)
Magnetocaloric materials
(1)
Martensitic steel
(1)
Materials discovery
(1)
Maximum energy product
(1)
Multicellular dynamics
(1)
Nd-Fe-B magnet
(1)
Nd-Fe-B magnets
(1)
Process
(1)
Properties
(1)
Remanence
(1)
Retention time prediction
(1)
Squareness
(1)
Superconductor
(1)
Supercritical fluid chromatography
(1)
Symbolic regression
(1)
Synthesis
(1)
active learning
(1)
adhesive
(1)
hap (shapley additive explanations)
(1)
RDEメタデータ定義
RDE送り状
<
1
2
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絞り込み
コレクション
資源タイプ
ジャーナル論文(7)
プレゼンテーション(3)
データセット(1)
キーワード
Machine learning (11)
AI-Driven Glass Design (1)
Active learning (1)
Automated synthesis (1)
Bayesian Optimization (1)
CALPHAD (1)
Carbon Nanotubes (1)
Cellulose nanofiber (1)
Coercivity (1)
Concentrated polymer brush (1)
(more)
ライセンス
In Copyright (4)
Creative Commons BY Attribution 4.0 International (3)
cc-by-3.0 (1)
https://creativecommons.org/licenses/by/3.0/ (1)
ファイル種別
application/pdf (9)
application/vnd.openxmlformats-officedocument.spreadsheetml.sheet (1)
application/vnd.openxmlformats-officedocument.wordprocessingml.document (1)
装置名
B-H tracer (1)
Carl Zeiss Crossbeam 1540 EsB FIB/SEM (1)