論文・データセット - MDR: NIMS Materials Data Repository

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

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31 件のレコードが見つかりました。

第5節機械学習を用いた耐熱鋼のクリープ寿命予測_出村.docx

機械学習を用いた耐熱鋼のクリープ寿命予測

書籍
著者: 出村雅彦
キーワード: Machine learning, Structural Materials, Performance pridiction, Creep
刊行年月日: 2025-05-30
更新時刻: 2026-01-07 09:42:32 +0900

s41524-025-01757-5 (2).pdf

High-throughput materials exploration system for the anomalous Hall effect using combinatorial experiments and machine learning

論文
著者: Ryo Toyama ; Yuma Iwasaki ; Prabhanjan D. Kulkarni ; Hirofumi Suto ; Tomoya Nakatani ; Yuya Sakuraba
キーワード: Machine learning, High-throughput, Combinatorial, Anomalous Hall effect
刊行年月日: 2025-09-03
更新時刻: 2025-12-26 13:11:05 +0900

s41524-025-01828-7.pdf

Autonomous closed-loop exploration of composition-spread films for the anomalous Hall effect

論文
著者: Ryo Toyama ; Ryo Tamura ; Shoichi Matsuda ; Yuma Iwasaki ; Yuya Sakuraba
キーワード: Machine learning, Autonomous, Combinatorial, Anomalous Hall effect
刊行年月日: 2025-11-19
更新時刻: 2025-12-25 17:32:06 +0900

D5DD00437C.pdf

Automated synthesis and fragment descriptor-based machine learning for retention time prediction in supercritical fluid chromatography

論文
著者: Sitanan Sartyoungkul ; Balasubramaniyan Sakthivel ; Pavel Sidorov ; Yuuya Nagata
キーワード: Automated synthesis, Fragment descriptor, Machine learning, Retention time prediction, Supercritical fluid chromatography
刊行年月日: 2025-11-26
更新時刻: 2025-12-24 15:05:55 +0900

Editorial_Nanomaterials.pdf

Advances in Carbon Nanotubes: Synthesis, Properties, and Cutting-Edge Applications

論文
著者: Guohai Chen ; Dai-Ming Tang
キーワード: Carbon Nanotubes, Synthesis, Properties, Machine learning
刊行年月日: 2025-10-20
更新時刻: 2025-12-13 08:30:03 +0900

Autonomous materials search using machine learning and ab initio calculations for L10-FePt-based quaternary alloys (1).pdf

Autonomous materials search using machine learning and ab initio calculations for L1 ₀ -FePt-based quaternary alloys

論文
著者: Yuma Iwasaki ; Daisuke Ogawa ; Masato Kotsugi ; Yukiko K. Takahashi
キーワード: Machine learning, Autonomous
刊行年月日: 2025-12-31
更新時刻: 2025-12-25 15:02:29 +0900

abstract_YOSHIKAWA.pdf

Machine Learning to Predict Multicellular Dynamics Driven by Concentrated Polymer Brush-Modified Cellulose Nanofibers

口頭発表
著者: Chiaki Yoshikawa ; Hiroshi Mamitsuka
キーワード: Machine learning, Multicellular dynamics, Concentrated polymer brush, Cellulose nanofiber
刊行年月日
更新時刻: 2025-11-06 12:30:42 +0900

Abstracts_Krishnan.pdf

From Random Networks to AI-Driven Glass Design

口頭発表
著者: N. M. Anoop Krishnan
キーワード: Machine learning, AI-Driven Glass Design
刊行年月日
更新時刻: 2025-09-25 16:30:42 +0900

Minami_20250723final_w_highlight.pdf

Estimation of valence state and growth rate using principal component analysis of plasma emission in reactive sputtering deposition

論文
著者: Rintaro Minami ; Eiji Kita ; Chiharu Mitsumata ; Hideto Yanagihara
キーワード: Machine learning, principal component analysis (PCA), reactive magnetron sputtering, plasma emission spectrum, Mössbauer spectroscopy
刊行年月日: 2025-12-31
更新時刻: 2025-09-10 16:30:38 +0900

Wu 2025 J Appl Crystallogr nanoXRD UMAP HVPE GaN.pdf

Machine learning assisted nanobeam X-ray diffraction based analysis on hydride vapor-phase epitaxy GaN

論文
著者: Zhendong Wu ; Yusuke Hayashi ; Tetsuya Tohei ; Kazushi Sumitani ; Yasuhiko Imai ; Shigeru Kimura ; Akira Sakai
キーワード: GaN, SPring-8, nanoXRD, Machine learning
刊行年月日: 2025-08-01
更新時刻: 2025-07-31 12:30:18 +0900