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Machine learning prediction of Young's modulus in multi component titanium based biomedical alloys using extended thermodynamic descriptors
Journal article
Creator
Hassan Ahmad (author) (Search by this author)
Department of Metallurgy and Materials Engineering, Pakistan Institute of Engineering and Applied Sciences (PIEAS)
;
Muhammad Haider (author) (Search by this author)
;
Zafar Iqbal (author) (Search by this author)
;
Muhammad Zarif (author) (Search by this author)
;
Syed Mujtaba Ul Hassan (author) (Search by this author)
Keyword
Titanium alloys, machine learning, biomedical alloys, Young’s modulus prediction
Date published
2026-12-31
Updated at
2026-07-08 16:58:38 +0900
An interpretable linear model bridging data-driven analysis and chemical intuition for Eu2 -phosphor emissions.pdf
An interpretable linear model bridging data-driven analysis and chemical intuition for Eu 2+ -phosphor emissions
Journal article
Creator
ORCID SAMURAI ;
Ryusei Hayasaka (author) (Search by this author)
;
Yuta Matsushima (author) (Search by this author)
ORCID ; ORCID SAMURAI ; ORCID SAMURAI ;
Naoto Hirosaki (author) (Search by this author)
Keyword
materials informatics, phosphor, europium, machine learning, interpretability, linear model, composition-based feature
Date published
2026-12-31
Updated at
2026-07-07 14:31:04 +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
Journal article
Creator
Houichi Kitano (author) (Search by this author)
National Institute for Materials Science
ORCID SAMURAI ;
Masaki Kobayashi (author) (Search by this author)
National Institute for Materials Science
ORCID SAMURAI ;
Masahiko Demura (author) (Search by this author)
National Institute for Materials Science
ORCID SAMURAI
Keyword
Acoustic sensing, in-process monitoring, gas metal arc welding, disturbance detection, machine learning, explainable AI, smart manufacturing
Date published
2026-12-31
Updated at
2026-06-25 09:51:40 +0900
2604_supp_info.pdf
Non-negative matrix factorization analysis of spatially-resolved photoemission spectra for epitaxially grown graphene on SiC
Journal article
Creator
Masaki Imamura (author) (Search by this author)
Synchrotron Light Application Center, Saga University
;
Kazutoshi Takahashi (author) (Search by this author)
Keyword
Photoemission spectroscopy, non-negative matrix factorization, graphene, machine learning, data-driven analysis
Date published
2026-06-19
Updated at
2026-06-24 15:38:41 +0900
Journal article
A design methodology of crystal growth furnace and process aided by two-step optimization using machine learning models and genetic algorithm
Journal article
Creator
Hiroyuki Tanaka (author) (Search by this author)
a Graduate School of Engineering, Nagoya University
;
Kentaro Kutsukake (author) (Search by this author)
;
Kota Asakura (author) (Search by this author)
;
Takuto Kojima (author) (Search by this author)
;
Xin Liu (author) (Search by this author)
;
Noritaka Usami (author) (Search by this author)
Keyword
Optimization, machine learning, genetic algorithm, crystal growth, process informatics
Date published
2025-12-31
Updated at
2026-02-27 12:30:07 +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
Journal article
Creator
Alex Kutana (author) (Search by this author)
Nagoya University
;
Koki Yoshimochi (author) (Search by this author)
;
Ryoji Asahi (author) (Search by this author)
Keyword
Graph neural network, machine learning, dielectrics, perovskite oxides, phase transitions
Date published
2025-12-31
Updated at
2025-07-18 10:24:15 +0900
Atomic descriptors generated from coordination polyhedra in crystal structures.pdf
Atomic descriptors generated from coordination polyhedra in crystal structures
Journal article
Creator
Yuki Inada (author) (Search by this author)
;
Yukari Katsura (author) (Search by this author)
National Institute for Materials Science
ORCID SAMURAI ;
Masaya Kumagai (author) (Search by this author)
;
Kaoru Kimura (author) (Search by this author)
Keyword
Materials informatics, machine learning, atomic descriptors, coordination polyhedra, formation energy prediction, band gap prediction
Date published
2021-01-01
Updated at
2024-11-21 16:35:29 +0900
Development of a method to evaluate strain in weld solidification using in-situ observations with high-brightness synchrotron X-rays.pdf
Development of a method to evaluate strain in weld solidification using in-situ observations with high-brightness synchrotron X-rays
Journal article
Creator
ORCID SAMURAI ; ORCID SAMURAI ; ORCID SAMURAI ; ORCID SAMURAI ;
Takayuki Yamashita (author) (Search by this author)
;
Yasuhiro Aoki (author) (Search by this author)
;
Hidetoshi Fujii (author) (Search by this author)
Keyword
in-situ observation, synchrotron X-ray, welding technology, optical flow, machine learning, Strain evaluation method;
Date published
2024-12-31
Updated at
2024-11-13 12:30:30 +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
Journal article
Creator
Ryo Tamura (author) (Search by this author)
Center for Basic Research on Materials/Data-driven Materials Research Field/Data-driven Algorithm Team, National Institute for Materials Science
ORCID SAMURAI ;
Ryuichi Inaba (author) (Search by this author)
MITSUBISHI MATERIALS CORPORATION
;
Mami Watanabe (author) (Search by this author)
MITSUBISHI MATERIALS CORPORATION
;
Yutaro Mori (author) (Search by this author)
MITSUBISHI MATERIALS CORPORATION
;
Makoto Urushihara (author) (Search by this author)
MITSUBISHI MATERIALS CORPORATION
;
Kenji Yamaguchi (author) (Search by this author)
MITSUBISHI MATERIALS CORPORATION
;
Shoichi Matsuda (author) (Search by this author)
Research Center for Energy and Environmental Materials (GREEN)/Battery and Cell Materials Field/Automated Electrochemical Experiments Team, National Institute for Materials Science
ORCID SAMURAI
Keyword
electrodeposited copper film, surface roughness, machine learning
Date published
2024-12-31
Updated at
2024-10-31 16:30:15 +0900
Semi-automatic staging area for high-quality structured data extraction from scientific literature.pdf
Semi-automatic staging area for high-quality structured data extraction from scientific literature
Journal article
Creator
Luca Foppiano (author) (Search by this author)
National Institute for Materials Science
ORCID ;
Tomoya Mato (author) (Search by this author)
National Institute for Materials Science
ORCID SAMURAI ;
Kensei Terashima (author) (Search by this author)
National Institute for Materials Science
ORCID SAMURAI ;
Pedro Ortiz Suarez (author) (Search by this author)
;
Taku Tou (author) (Search by this author)
; ORCID ;
Wei-Sheng Wang (author) (Search by this author)
National Institute for Materials Science
ORCID ;
Toshiyuki Amagasa (author) (Search by this author)
;
Yoshihiko Takano (author) (Search by this author)
National Institute for Materials Science
ORCID SAMURAI ;
Masashi Ishii (author) (Search by this author)
National Institute for Materials Science
ORCID SAMURAI
Keyword
materials informatics, superconductors, machine learning, database, tdm
Date published
2023-12-31
Updated at
2024-07-11 16:30:24 +0900
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