ファイル種別: application/pdf
全ての絞り込みを解除

467 件のレコードが見つかりました。 11件目から20件目まで表示します。

全ての絞り込みを解除
sciadv.adg3289_sm.pdf
Neuromorphic learning, working memory, and metaplasticity in nanowire networks
ジャーナル論文
著者
Alon Loeffler (author) (この著者で検索)
The University of Sydney School of Physics
;
Adrian Diaz-Alvarez (author) (この著者で検索)
NIMS International Center for Young Scientists (ICYS)
;
Ruomin Zhu (author) (この著者で検索)
The University of Sydney School of Physics
;
Natesh Ganesh (author) (この著者で検索)
National Institute of Standards and Technology (NIMS)
;
James M. Shine (author) (この著者で検索)
The University of Sydney School of Physics
;
Tomonobu Nakayama (author) (この著者で検索)
NIMS International Center for Materials Nanoarchitectonics (MANA)
ORCID SAMURAI ;
Zdenka Kuncic (author) (この著者で検索)
The University of Sydney School of Physics
キーワード
Neuromorphic, Silver nanowire network, neurosynaptic connectivity, emergent dynamics, metaplasticity, learning, memory
刊行年月日
2023-04-21
更新時刻
2024-01-05 22:11:55 +0900
REPM2025_P2-3_Hosoi.pdf
Multi-objective optimization of magnet compositions by machine learning
会議発表ポスター
コレクション
The 28th International Workshop on Rare Earth and Future Permanent Magnets and Their Applications (REPM2025)
著者
Hyuga Hosoi (author) (この著者で検索)
Toyota Motor Corporation, Japan
;
Yamano Hayate (author) (この著者で検索)
Toyota Motor Corporation, Japan
;
Kinoshita Akihito (author) (この著者で検索)
Toyota Motor Corporation, Japan
;
Sakuma Noritsugu (author) (この著者で検索)
Toyota Motor Corporation, Japan
;
Umetani Yusuke (author) (この著者で検索)
Toyota Motor Corporation, Japan
;
Shoji Tetsuya (author) (この著者で検索)
Toyota Motor Corporation, Japan
;
Thomas Schrefl (author) (この著者で検索)
Donau University Krems, Austria
キーワード
REPM2025, NdFeB, Machine Learning, Multi–objective optimization, WAVEBASE
刊行年月日
更新時刻
2025-09-11 16:31:00 +0900
s41524-025-01606-5.pdf
Scaling Law of Sim2Real transfer learning in expanding computational materials databases for real-world predictions
ジャーナル論文
著者
Shunya Minami (author) (この著者で検索)
ORCID ;
Yoshihiro Hayashi (author) (この著者で検索)
ORCID ;
Stephen Wu (author) (この著者で検索)
ORCID ;
Kenji Fukumizu (author) (この著者で検索)
;
Hiroki Sugisawa (author) (この著者で検索)
; ORCID SAMURAI ; ORCID SAMURAI ;
Kazuya Shiratori (author) (この著者で検索)
;
Ryo Yoshida (author) (この著者で検索)
ORCID
キーワード
molecular dynamics simulation, scaling law of simulation- to-real, Sim2Real, transfer learning, PoLyInfo
刊行年月日
2025-05-24
更新時刻
2025-06-13 16:30:25 +0900
main.pdf
Data-driven analysis of hydrogen embrittlement in martensitic steels with interpretable machine learning
ジャーナル論文
著者
ORCID SAMURAI ; ORCID SAMURAI ; ORCID SAMURAI
キーワード
Hydrogen embrittlement, Martensitic steel, Machine learning, hap (shapley additive explanations), Symbolic regression
刊行年月日
2026-04-23
更新時刻
2026-06-17 09:57:29 +0900
2401.17531v3.pdf
On-the-fly training of polynomial machine learning potentials in computing lattice thermal conductivity
ジャーナル論文
著者
Atsushi Togo (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI ;
Atsuto Seko (author) (この著者で検索)
キーワード
Polynomial machine learning potential, Lattice thermal conductivity calculation
刊行年月日
2024-06-07
更新時刻
2024-08-29 16:30:19 +0900
2504.20481v2.pdf
Self-Consistency Error Correction for Accurate Machine Learning Potentials from Variational Monte Carlo
ジャーナル論文
著者
Giacomo Tenti (author) (この著者で検索)
;
Kousuke Nakano (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI ;
Michele Casula (author) (この著者で検索)
キーワード
Quantum Monte Carlo, Variational Monte Carlo, Atomic forces
刊行年月日
2025-10-14
更新時刻
2025-12-02 08:30:12 +0900
s41524-025-01671-w.pdf
Discovery of liquid crystalline polymers with high thermal conductivity using machine learning
ジャーナル論文
著者
Hayato Maeda (author) (この著者で検索)
ORCID ;
Stephen Wu (author) (この著者で検索)
ORCID ;
Rika Marui (author) (この著者で検索)
ORCID ;
Erina Yoshida (author) (この著者で検索)
;
Kan Hatakeyama-Sato (author) (この著者で検索)
;
Yuta Nabae (author) (この著者で検索)
;
Shiori Nakagawa (author) (この著者で検索)
;
Meguya Ryu (author) (この著者で検索)
;
Ryohei Ishige (author) (この著者で検索)
;
Yoh Noguchi (author) (この著者で検索)
;
Yoshihiro Hayashi (author) (この著者で検索)
ORCID ; ORCID SAMURAI ; ORCID SAMURAI ;
Felix Jiang (author) (この著者で検索)
;
Xuan Thang Vu (author) (この著者で検索)
;
Sven Ingebrandt (author) (この著者で検索)
ORCID ;
Masatoshi Tokita (author) (この著者で検索)
;
Junko Morikawa (author) (この著者で検索)
ORCID ;
Ryo Yoshida (author) (この著者で検索)
ORCID ;
Teruaki Hayakawa (author) (この著者で検索)
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
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
ジャーナル論文
著者
Zhendong Wu (author) (この著者で検索)
;
Yusuke Hayashi (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI ;
Tetsuya Tohei (author) (この著者で検索)
;
Kazushi Sumitani (author) (この著者で検索)
;
Yasuhiko Imai (author) (この著者で検索)
;
Shigeru Kimura (author) (この著者で検索)
;
Akira Sakai (author) (この著者で検索)
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
Autonomous search for materials with high Curie temperature using ab initio calculations and machine learning (1).pdf
Autonomous search for materials with high Curie temperature using ab initio calculations and machine learning
ジャーナル論文
著者
ORCID SAMURAI
キーワード
Machine learning, Autonomous, Curie temperature, ab initio
刊行年月日
2024-12-31
更新時刻
2024-10-04 08:30:28 +0900
Deep learning framework for analyzing birefringence imaging by incorporating optical polarization overlap in stress-induced ferroelectric SrTiO.pdf
Deep learning framework for analyzing birefringence imaging by incorporating optical polarization overlap in stress-induced ferroelectric SrTiO
ジャーナル論文
著者
Hirotaka Manaka (author) (この著者で検索)
Kagoshima University a Graduate School of Science and Engineering
;
Shoutarou Katayama (author) (この著者で検索)
;
Soichiro Honda (author) (この著者で検索)
;
Yoko Miura (author) (この著者で検索)
キーワード
LSTM, temperature series principal component analysis, 3D convolutional autoencoder, temperature series forest, stress-induced ferroelectricity, SrTiO3
刊行年月日
2025-12-31
更新時刻
2025-10-21 16:05:44 +0900
絞り込み