8630 件のレコードが見つかりました。

Advanced Science - 2024 - Si - Data‐Driven Cycle Life Prediction of Lithium Metal‐Based Rechargeable Battery Based on.pdf
Data‐Driven Cycle Life Prediction of Lithium Metal‐Based Rechargeable Battery Based on Discharge/Charge Capacity and Relaxation Features
ジャーナル論文
著者
Qianli Si (author) (この著者で検索)
National Institute for Materials Science
;
Shoichi Matsuda (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI ;
Youhei Yamaji (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI ;
Toshiyuki Momma (author) (この著者で検索)
;
Yoshitaka Tateyama (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI
キーワード
lithium metal battery
刊行年月日
2024-06-27
更新時刻
2024-11-22 16:30:54 +0900
2502.02447v2.pdf
Hydrogen liquid-liquid transition from first principles and machine learning
ジャーナル論文
著者
Giacomo Tenti (author) (この著者で検索)
;
Bastian Jäckl (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 ;
Matthias Rupp (author) (この著者で検索)
;
Michele Casula (author) (この著者で検索)
キーワード
Machine learning potential, Hydrogen liquid-liquid transition
刊行年月日
2025-09-24
更新時刻
2025-12-02 08:30:10 +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
seminar_BO_Junier.pdf
Bayesian optimization, an active learning method for optimising experimental parameters
プレゼンテーション
著者
LAMBARD Guillaume (author) (この著者で検索)
National Institute for Materials Science Center for Basic Research on Materials/Data-driven Materials Research Field/Data-driven Materials Design Group
;
BAJAN Christophe Marie Olivier (author) (この著者で検索)
National Institute for Materials Science Center for Basic Research on Materials/Data-driven Materials Research Field/Data-driven Materials Design Group
キーワード
Bayesian optimization, Active learning
刊行年月日
更新時刻
2024-12-23 12:30:48 +0900
MDR.docx
Bayesian Optimization for Controlled Chemical Vapor Deposition Growth of WS2
ジャーナル論文
著者
Feng Zhang (author) (この著者で検索)
National Institute for Materials Science Research Center for Materials Nanoarchitectonics (MANA)/Quantum Materials Field/2D Quantum Materials Group
;
Ryo Tamura (author) (この著者で検索)
National Institute for Materials Science Center for Basic Research on Materials/Data-driven Materials Research Field/Data-driven Algorithm Team
ORCID SAMURAI ;
Fanyu Zeng (author) (この著者で検索)
National Institute for Materials Science Research Center for Materials Nanoarchitectonics (MANA)/Quantum Materials Field/2D Quantum Materials Group
ORCID SAMURAI ;
Daichi Kozawa (author) (この著者で検索)
National Institute for Materials Science Research Center for Materials Nanoarchitectonics (MANA)/Quantum Materials Field/2D Quantum Materials Group
ORCID SAMURAI ;
Ryo Kitaura (author) (この著者で検索)
National Institute for Materials Science Research Center for Materials Nanoarchitectonics (MANA)/Quantum Materials Field/2D Quantum Materials Group
ORCID SAMURAI
キーワード
Bayesian optimization, 2D materials, Crystal growth
刊行年月日
2024-10-30
更新時刻
2025-10-21 15:50:25 +0900
ijms-21-00551.pdf
Fabrication of Gentamicin-Loaded Hydroxyapatite/Collagen Bone-Like Nanocomposite for Anti-Infection Bone Void Fillers
ジャーナル論文
著者
Sho Oshima (author) (この著者で検索)
National Institute for Materials Science
;
Taira Sato (author) (この著者で検索)
;
Michiyo Honda (author) (この著者で検索)
;
Yasushi Suetsugu (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI ;
Kazuhide Ozeki (author) (この著者で検索)
;
Masanori Kikuchi (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI
キーワード
antibiotic-impregnated biomaterial, hydroxyapatite/collagen bone-like nanocomposite, gentamicin sulfate, bone void filler, antibacterial activity
刊行年月日
2020-01-15
更新時刻
2024-03-19 16:55:56 +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
ジャーナル論文
著者
Qianli Si (author) (この著者で検索)
National Institute for Materials Science
;
Shoichi Matsuda (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI ;
Yasunobu Ando (author) (この著者で検索)
;
Toshiyuki Momma (author) (この著者で検索)
;
Yoshitaka Tateyama (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI
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
band_pdos.png
First-principles lattice thermal conductivity calculation for Li2HIO / Pnma (62) / materials id 643069
データセット
コレクション
MDR lattice thermal conductivity calculation database
著者
Atsushi Togo (author) (この著者で検索)
National Institute for Materials Science Center for Basic Research on Materials
ORCID SAMURAI
キーワード
Lattice thermal conductivity, Li2HIO
刊行年月日
更新時刻
2026-01-24 12:26:56 +0900
Rapid isolation of extracellular vesicles from stem cell conditioned medium using osmosis-driven filtration.pdf
Rapid isolation of extracellular vesicles from stem cell conditioned medium using osmosis-driven filtration
ジャーナル論文
著者
Casey Y. Huang (author) (この著者で検索)
National Taiwan University of Science and Technology a Department of Material Science and Engineering
;
Helen Nguyen (author) (この著者で検索)
;
David J. Lundy (author) (この著者で検索)
;
James. J Lai (author) (この著者で検索)
キーワード
Exosome, mesenchymal stromal cell, cardiomyocyte, bioprocessing, polymer
刊行年月日
2025-12-31
更新時刻
2025-07-16 16:14:59 +0900
band_pdos.png
First-principles lattice thermal conductivity calculation for LiMgAsO4 / Pnma (62) / materials id 8870
データセット
コレクション
MDR lattice thermal conductivity calculation database
著者
Atsushi Togo (author) (この著者で検索)
National Institute for Materials Science Center for Basic Research on Materials
ORCID SAMURAI
キーワード
Lattice thermal conductivity, LiMgAsO4
刊行年月日
更新時刻
2026-01-24 14:33:21 +0900