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ファイル種別: application/pdf
資源タイプ: journal_article
キーワード: machine learning
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40 件のレコードが見つかりました。
A design methodology of crystal growth furnace and process aided by two-step optimization using machine learning models and genetic algorithm
論文
著者
Hiroyuki Tanaka ; Kentaro Kutsukake ; Kota Asakura ; Takuto Kojima ; Xin Liu ; Noritaka Usami
キーワード
Optimization
,
machine learning
,
genetic algorithm
,
crystal growth
,
process informatics
刊行年月日
2025-12-31
更新時刻
2026-02-27 12:30:07 +0900
多次元X線計測と情報科学
論文
著者
永村 直佳
キーワード
multi-dimensional
,
X-ray spectroscopy
,
data-driven science
,
machine learning
,
sparce modeling
刊行年月日
[2025年8月]
更新時刻
2026-01-20 10:11:08 +0900
Networking autonomous material exploration systems through transfer learning
論文
著者
Naoki Yoshida ; Yutaro Iwabuchi ; Yasuhiko Igarashi ;
Yuma Iwasaki
キーワード
machine learning
刊行年月日
2025-12-09
更新時刻
2025-12-13 08:30:26 +0900
Artificial Intelligence‐Driven Nanoarchitectonics for Smart Targeted Drug Delivery
論文
著者
Hayeon Bae ; Hyunsub Ji ; Konstantin Konstantinov ; Ronald Sluyter ;
Katsuhiko Ariga
; Yong Ho Kim ; Jung Ho Kim
キーワード
artificial intelligence
,
in silico optimization
,
machine learning
,
nanocarrier design
,
nanomedicine
,
targeted drug delivery
刊行年月日
2025-08-07
更新時刻
2025-10-28 12:30:13 +0900
Machine Learning—Guided Design of Biomass‐Based Porous Carbon for Aqueous Symmetric Supercapacitors
論文
著者
Manickam Minakshi
; Apsana Sharma ; Ferdous Sohel ;
Almantas Pivrikas
;
Pragati A. Shinde
;
Katsuhiko Ariga
;
Lok Kumar Shrestha
キーワード
biomass
,
carbon
,
dopant
,
energy
,
machine learning
,
storage
刊行年月日
2025-10-09
更新時刻
2025-10-21 16:06:10 +0900
Capacity Estimation and Knee Point Prediction Using Electrochemical Impedance Spectroscopy for Lithium Metal Battery Degradation via Machine Learning
論文
著者
Qianli Si ;
Shoichi Matsuda
; Yasunobu Ando ; Toshiyuki Momma ;
Yoshitaka Tateyama
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
Discovery of liquid crystalline polymers with high thermal conductivity using machine learning
論文
著者
Hayato Maeda
;
Stephen Wu
;
Rika Marui
; Erina Yoshida ; Kan Hatakeyama-Sato ; Yuta Nabae ; Shiori Nakagawa ; Meguya Ryu ; Ryohei Ishige ; Yoh Noguchi ;
Yoshihiro Hayashi
;
Masashi Ishii
;
Isao Kuwajima
; Felix Jiang ; Xuan Thang Vu ;
Sven Ingebrandt
; Masatoshi Tokita ;
Junko Morikawa
;
Ryo Yoshida
; Teruaki Hayakawa
キーワード
liquid crystalline polymer
,
thermal conductivity
,
machine learning
,
PoLyInfo
刊行年月日
2025-07-02
更新時刻
2025-08-19 12:30:21 +0900
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
論文
著者
櫻井 惇也
; 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
キーワード
ferritic heat resistant steel
,
federated learning
,
creep rupture time
,
high temperature tensile strength
,
machine learning
,
prediction
刊行年月日
2025-04-01
更新時刻
2025-07-26 08:30:25 +0900
Er-driven magnetic tunability in FePt thin films investigated via high-throughput experiments and microstructure analysis for future HAMR media
論文
著者
Daisuke Ogawa
;
Yuma Iwasaki
;
Jun Uzuhashi
;
Yuta Sasaki
; Masato Kotsugi ;
Yukiko K. Takahashi
キーワード
heat-assisted magnetic recording
,
FePt
,
combinatorial
,
high throughput
,
machine learning
,
rare-earth doping
刊行年月日
2025-06-23
更新時刻
2025-07-11 08:30:48 +0900
Time-domain thermoreflectance technique using multiple delayed probe pulses for high-throughput data acquisition and analysis
論文
著者
Hiroto Arima ; Yuichiro Yamashita ; Takashi Yagi
キーワード
Time-domain thermoreflectance
,
multiple delay
,
thin film
,
thermal effusivity
,
interfacial thermal resistance
,
machine learning
刊行年月日
2025-12-31
更新時刻
2025-07-16 16:14:58 +0900
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