Resource type: journal_article Keyword: machine learning

42 records found.

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

光学NN.pdf
多次元X線計測と情報科学
Article
Creator
永村 直佳 SAMURAI ORCID
Keyword
multi-dimensional, X-ray spectroscopy, data-driven science, machine learning, sparce modeling
Date published
[2025年8月]
Updated at
2026-01-20 10:11:08 +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

AdvMater.25_37_e10239.pdf
Artificial Intelligence‐Driven Nanoarchitectonics for Smart Targeted Drug Delivery
Article
Creator
Hayeon Bae ; Hyunsub Ji ; Konstantin Konstantinov ; Ronald Sluyter ; Katsuhiko Ariga SAMURAI ORCID ; Yong Ho Kim ; Jung Ho Kim
Keyword
artificial intelligence, in silico optimization, machine learning, nanocarrier design, nanomedicine, targeted drug delivery
Date published
2025-08-07
Updated at
2025-10-28 12:30:13 +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

111_TETSU-2024-124-2.pdf
クリープ破断時間および高温引張強度予測モデルの連合学習
Article
Creator
櫻井 惇也 ORCID ; 鳥形 啓輔 ; 松永 学 ; 髙梨 直人 ; 日比野 真也 ; 木津 健一 ; 森田 聡 ; 井元 雅弘 ; 下畠 伸朗 ; 豊田 晃大 ; 中村 忠暉 ; 橋本 憩太 ; 大久保 達矢 ; ベヘシティ ロイック ; リチャル ヴァンサン ; 出村 雅彦 SAMURAI ORCID
Keyword
ferritic heat resistant steel, federated learning, creep rupture time, high temperature tensile strength, machine learning, prediction
Date published
2025-04-01
Updated at
2025-07-26 08:30:25 +0900