ファイル種別: application/pdf キーワード: machine learning

41 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。

Manuscript_clean.pdf
Machine learning prediction of Young's modulus in multi component titanium based biomedical alloys using extended thermodynamic descriptors
ジャーナル論文
著者
Hassan Ahmad (author) (この著者で検索)
Pakistan Institute of Engineering and Applied Sciences (PIEAS) Department of Metallurgy and Materials Engineering
;
Muhammad Haider (author) (この著者で検索)
;
Zafar Iqbal (author) (この著者で検索)
;
Muhammad Zarif (author) (この著者で検索)
;
Syed Mujtaba Ul Hassan (author) (この著者で検索)
キーワード
Titanium alloys, machine learning, biomedical alloys, Young’s modulus prediction
刊行年月日
2026-12-31
更新時刻
2026-07-08 16:58:38 +0900

Predicting the surface roughness of an electrodeposited copper film using a machine learning technique.pdf
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)
National Institute for Materials Science Center for Basic Research on Materials/Data-driven Materials Research Field/Data-driven Algorithm Team
ORCID SAMURAI ;
Ryuichi Inaba (author) (この著者で検索)
MITSUBISHI MATERIALS CORPORATION
;
Mami Watanabe (author) (この著者で検索)
MITSUBISHI MATERIALS CORPORATION
;
Yutaro Mori (author) (この著者で検索)
MITSUBISHI MATERIALS CORPORATION
;
Makoto Urushihara (author) (この著者で検索)
MITSUBISHI MATERIALS CORPORATION
;
Kenji Yamaguchi (author) (この著者で検索)
MITSUBISHI MATERIALS CORPORATION
;
Shoichi Matsuda (author) (この著者で検索)
National Institute for Materials Science Research Center for Energy and Environmental Materials (GREEN)/Battery and Cell Materials Field/Automated Electrochemical Experiments Team
ORCID SAMURAI
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

2025秋季応用物理学会.pdf
Structure Prediction from Chemical Formula Using Periodic Descriptors
プレゼンテーション
著者
Yen-Ju Wu (author) (この著者で検索)
National Institute for Materials Science Center for Basic Research on Materials/Data-driven Materials Research Field/Data-driven Inorganic Materials Group
ORCID SAMURAI ;
Yibin Xu (author) (この著者で検索)
National Institute for Materials Science Center for Basic Research on Materials/Data-driven Materials Research Field/Data-driven Inorganic Materials Group
ORCID SAMURAI
キーワード
periodic descriptor, structure prediction, machine learning, template substitution
刊行年月日
更新時刻
2025-09-13 08:30:19 +0900

Development of an AI-based acoustic disturbance-detection method for robotic arc welding processes.pdf
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)
ORCID SAMURAI ;
Masaki Kobayashi (author) (この著者で検索)
ORCID SAMURAI ;
Masahiko Demura (author) (この著者で検索)
ORCID SAMURAI
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

Understanding strain localization in metallic materials  a review of high-resolution digital image correlation and related techniques.pdf
Understanding strain localization in metallic materials: a review of high-resolution digital image correlation and related techniques
ジャーナル論文
著者
ORCID SAMURAI ;
T. E.J. Edwards (author) (この著者で検索)
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J. Quinta da Fonseca (author) (この著者で検索)
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J. -C. Stinville (author) (この著者で検索)
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D. Texier (author) (この著者で検索)
;
T. Vermeij (author) (この著者で検索)
キーワード
High-resolution digital image correlation, strain localization, crystal plasticity, data merging, metallic materials, machine learning
刊行年月日
2026-12-31
更新時刻
2026-03-13 08:30:04 +0900

Data-driven analysis and visualization of dielectric properties curated from scientific literature.pdf
Data-driven analysis and visualization of dielectric properties curated from scientific literature
ジャーナル論文
著者
Tomoki Murata (author) (この著者で検索)
ORCID ;
Naoto Saito (author) (この著者で検索)
;
Eiji Koyama (author) (この著者で検索)
;
Ton Nu Thanh Phuong (author) (この著者で検索)
;
Ryusuke Misawa (author) (この著者で検索)
;
Satoshi Yokomizo (author) (この著者で検索)
; ORCID SAMURAI ; ORCID SAMURAI ;
Sakyo Hirose (author) (この著者で検索)
ORCID ; ORCID SAMURAI
キーワード
Materials data analysis, database, data curation, dielectric materials, ferroelectric, machine learning, dimensionality reduction
刊行年月日
2025-12-31
更新時刻
2025-06-12 16:30:20 +0900

Manuscript.pdf
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)
ORCID SAMURAI ;
Duc Anh Nguyen (author) (この著者で検索)
;
Tadashi Nakaji-Hirabayashi (author) (この著者で検索)
;
Ichigaku Takigawa (author) (この著者で検索)
;
Hiroshi Mamitsuka (author) (この著者で検索)
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

shrine20230330-1595-1im5f61.pdf
Unveiling the principle descriptor for predicting the electron inelastic mean free path based on a machine learning framework
ジャーナル論文
著者
Xun Liu (author) (この著者で検索)
National Institute for Materials Science
;
Zhufeng Hou (author) (この著者で検索)
;
Dabao Lu (author) (この著者で検索)
;
Bo Da (author) (この著者で検索)
ORCID SAMURAI ;
Hideki Yoshikawa (author) (この著者で検索)
ORCID SAMURAI ;
Shigeo Tanuma (author) (この著者で検索)
ORCID SAMURAI ;
Yang Sun (author) (この著者で検索)
;
Zejun Ding (author) (この著者で検索)
キーワード
machine learning, inelastic mean free path, LASSO
刊行年月日
2019-12-31
更新時刻
2024-09-05 16:30:30 +0900

Dielectric tensor of perovskite oxides at finite temperature using equivariant graph neural network potentials.pdf
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
;
Koki Yoshimochi (author) (この著者で検索)
;
Ryoji Asahi (author) (この著者で検索)
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

Advanced Science - 2025 - Si - Capacity Estimation and Knee Point Prediction Using Electrochemical Impedance Spectroscopy.pdf
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
;
Shoichi Matsuda (author) (この著者で検索)
ORCID SAMURAI ;
Yasunobu Ando (author) (この著者で検索)
;
Toshiyuki Momma (author) (この著者で検索)
;
Yoshitaka Tateyama (author) (この著者で検索)
ORCID SAMURAI
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

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