License: Creative Commons BY Attribution 4.0 International Keyword: machine learning
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24 records found.

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
Article
Creator
F. Briffod SAMURAI ORCID ; T. E.J. Edwards ; J. Quinta da Fonseca ; J. -C. Stinville ; D. Texier ; T. Vermeij
Keyword
High-resolution digital image correlation, strain localization, crystal plasticity, data merging, metallic materials, machine learning
Date published
2026-12-31
Updated at
2026-03-13 08:30:04 +0900
Supplemental_(1).pdf
A design methodology of crystal growth furnace and process aided by two-step optimization using machine learning models and genetic algorithm
Article
Creator
Hiroyuki Tanaka ; Kentaro Kutsukake ; Kota Asakura ; Takuto Kojima ; Xin Liu ; Noritaka Usami
Keyword
Optimization, machine learning, genetic algorithm, crystal growth, process informatics
Date published
2025-12-31
Updated at
2026-02-27 12:30:07 +0900
s41524-025-01851-8 (1).pdf
Networking autonomous material exploration systems through transfer learning
Article
Creator
Naoki Yoshida ; Yutaro Iwabuchi ; Yasuhiko Igarashi ; Yuma Iwasaki SAMURAI ORCID
Keyword
machine learning
Date published
2025-12-09
Updated at
2025-12-13 08:30:26 +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
Article
Creator
Qianli Si ; Shoichi Matsuda SAMURAI ORCID ; Yasunobu Ando ; Toshiyuki Momma ; Yoshitaka Tateyama SAMURAI ORCID
Keyword
lithium metal battery, machine learning
Date published
2025-05-05
Updated at
2025-09-09 12:30:20 +0900
s41524-025-01671-w.pdf
Discovery of liquid crystalline polymers with high thermal conductivity using machine learning
Article
Creator
Hayato Maeda ORCID ; Stephen Wu ORCID ; Rika Marui ORCID ; Erina Yoshida ; Kan Hatakeyama-Sato ; Yuta Nabae ; Shiori Nakagawa ; Meguya Ryu ; Ryohei Ishige ; Yoh Noguchi ; Yoshihiro Hayashi ORCID ; Masashi Ishii SAMURAI ORCID ; Isao Kuwajima SAMURAI ORCID ; Felix Jiang ; Xuan Thang Vu ; Sven Ingebrandt ORCID ; Masatoshi Tokita ; Junko Morikawa ORCID ; Ryo Yoshida ORCID ; Teruaki Hayakawa
Keyword
liquid crystalline polymer, thermal conductivity, machine learning, PoLyInfo
Date published
2025-07-02
Updated at
2025-08-19 12:30:21 +0900
Systematic searches for new inorganic materials assisted by materials informatics.pdf
Systematic searches for new inorganic materials assisted by materials informatics
Article
Creator
Yukari Katsura SAMURAI ORCID ; Masakazu Akiyama ORCID ; Haruhiko Morito ORCID ; Masaya Fujioka ORCID ; Tohru Sugahara ORCID
Keyword
Inorganic chemistry, materials informatics, machine learning, crystal structure analysis, database, high-throughput synthesis, ion diffusion control
Date published
2025-12-31
Updated at
2025-06-03 08:30:27 +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
Article
Creator
Alex Kutana ; Koki Yoshimochi ; Ryoji Asahi
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
jpsj.94.031005.pdf
Self-Energy Spectroscopy and Artificial Neural Network
Article
Creator
Youhei Yamaji SAMURAI ORCID
Keyword
machine learning, quantum materials, photoemission spectroscopy, high-temperature superconductivity
Date published
2025-03-15
Updated at
2025-02-27 12:30:42 +0900
nanomaterials-3261714-Revision_T.pdf
Machine Learning as a “Catalyst” for Advancements in Carbon Nanotube Research
Article
Creator
Guohai Chen ORCID ; Dai-Ming Tang SAMURAI ORCID
Keyword
machine learning, carbon nanotube, in situ TEM, growth mechanism
Date published
2024-10-22
Updated at
2024-12-24 13:58:23 +0900
Advanced Science - 2023 - Uryu - Deep Learning Enables Rapid Identification of a New Quasicrystal from Multiphase Powder.pdf
Deep Learning Enables Rapid Identification of a New Quasicrystal from Multiphase Powder Diffraction Patterns
Article
Creator
Hirotaka Uryu ; Tsunetomo Yamada ; Koichi Kitahara ; Alok Singh SAMURAI ORCID ; Yutaka Iwasaki SAMURAI ORCID ; Kaoru Kimura ORCID ; Kanta Hiroki ; Naoki Miyao ; Asuka Ishikawa ; Ryuji Tamura ; Satoshi Ohhashi ; Chang Liu ; Ryo Yoshida
Keyword
deep learning, x-ray powder diffraction, quasicrystal, phase identification, machine learning
Date published
2023-11-14
Updated at
2024-12-13 12:30:39 +0900