キーワード: machine learning
全ての絞り込みを解除

39 件のレコードが見つかりました。

jpsj.94.031005.pdf
Self-Energy Spectroscopy and Artificial Neural Network
ジャーナル論文
著者
ORCID SAMURAI
キーワード
machine learning, quantum materials, photoemission spectroscopy, high-temperature superconductivity
刊行年月日
2025-03-15
更新時刻
2025-02-27 12:30:42 +0900
ChemPlusChem25_90_e202500342.pdf
Machine Learning—Guided Design of Biomass‐Based Porous Carbon for Aqueous Symmetric Supercapacitors
ジャーナル論文
著者
Manickam Minakshi (author) (この著者で検索)
ORCID ;
Apsana Sharma (author) (この著者で検索)
;
Ferdous Sohel (author) (この著者で検索)
;
Almantas Pivrikas (author) (この著者で検索)
ORCID ;
Pragati A. Shinde (author) (この著者で検索)
ORCID ; ORCID SAMURAI ; ORCID SAMURAI
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
Automatic_extraction_of_materials_and_properties_from_superconductors_scientific_literature-v1.pdf
Automatic Extraction of Materials and Properties from Superconductors Scientific Literature
ジャーナル論文
著者
Foppiano Luca (author) (この著者で検索)
NIMS MaDIS
ORCID ;
Baptista de Castro, Pedro (author) (この著者で検索)
NIMS MANA
ORCID ;
Ortiz Suarez, Pedro (author) (この著者で検索)
University of Mannheim Data and Web Science Group
ORCID ; ORCID SAMURAI ; ORCID SAMURAI ;
Ishii, Masashi (author) (この著者で検索)
NIMS MaDIS
ORCID
キーワード
tdm, machine learning, materials science, superconductors, database
刊行年月日
2022-09-15
更新時刻
2022-10-16 01:44:51 +0900
materials-17-02866.pdf
Multi-Objective Optimization of Adhesive Joint Strength and Elastic Modulus of Adhesive Epoxy with Active Learning
ジャーナル論文
著者
ORCID SAMURAI ; ORCID SAMURAI ;
Chao Kang (author) (この著者で検索)
ORCID ;
Chiaki Sato (author) (この著者で検索)
キーワード
experimental testing, multi-objective optimization, epoxy, adhesive, elastic modulus, machine learning, active learning
刊行年月日
2024-06-12
更新時刻
2025-01-07 08:30:26 +0900
41524_2019_203_MOESM1_ESM.avi
Machine-learning-assisted discovery of polymers with high thermal conductivity using a molecular design algorithm
ジャーナル論文
著者
Stephen Wu (author) (この著者で検索)
;
Yukiko Kondo (author) (この著者で検索)
;
Masa-aki Kakimoto (author) (この著者で検索)
;
Bin Yang (author) (この著者で検索)
;
Hironao Yamada (author) (この著者で検索)
; ORCID SAMURAI ;
Guillaume Lambard (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI ;
Kenta Hongo (author) (この著者で検索)
; ORCID SAMURAI ;
Junichiro Shiomi (author) (この著者で検索)
;
Christoph Schick (author) (この著者で検索)
;
Junko Morikawa (author) (この著者で検索)
;
Ryo Yoshida (author) (この著者で検索)
キーワード
machine learning, polymer, thermal conductivity, molecular design
刊行年月日
2019-06-21
更新時刻
2024-11-21 16:31:23 +0900
shrine20230330-1595-1im5f61.pdf
Unveiling the principle descriptor for predicting the electron inelastic mean free path based on a machine learning framework
ジャーナル論文
著者
Xun Liu (author) (この著者で検索)
National Institute for Materials Science
;
Zhufeng Hou (author) (この著者で検索)
;
Dabao Lu (author) (この著者で検索)
;
Bo Da (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI ;
Hideki Yoshikawa (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI ;
Shigeo Tanuma (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI ;
Yang Sun (author) (この著者で検索)
;
Zejun Ding (author) (この著者で検索)
キーワード
machine learning, inelastic mean free path, LASSO
刊行年月日
2019-12-31
更新時刻
2024-09-05 16:30:30 +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
Predicting the surface roughness of an electrodeposited copper film using a machine learning technique.pdf
Predicting the surface roughness of an electrodeposited copper film using a machine learning technique
ジャーナル論文
著者
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 ;
Ryuichi Inaba (author) (この著者で検索)
MITSUBISHI MATERIALS CORPORATION
;
Mami Watanabe (author) (この著者で検索)
MITSUBISHI MATERIALS CORPORATION
;
Yutaro Mori (author) (この著者で検索)
MITSUBISHI MATERIALS CORPORATION
;
Makoto Urushihara (author) (この著者で検索)
MITSUBISHI MATERIALS CORPORATION
;
Kenji Yamaguchi (author) (この著者で検索)
MITSUBISHI MATERIALS CORPORATION
;
Shoichi Matsuda (author) (この著者で検索)
National Institute for Materials Science Research Center for Energy and Environmental Materials (GREEN)/Battery and Cell Materials Field/Automated Electrochemical Experiments Team
ORCID SAMURAI
キーワード
electrodeposited copper film, surface roughness, machine learning
刊行年月日
2024-12-31
更新時刻
2024-10-31 16:30:15 +0900
manuscript.docx
Machine learning approach for the prediction of electron inelastic mean free paths
ジャーナル論文
著者
Xun Liu (author) (この著者で検索)
National Institute for Materials Science
;
Lihao Yang (author) (この著者で検索)
;
Zhufeng Hou (author) (この著者で検索)
;
Bo Da (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI ;
Kenji Nagata (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI ;
Hideki Yoshikawa (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI ;
Shigeo Tanuma (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI ;
Yang Sun (author) (この著者で検索)
;
Zejun Ding (author) (この著者で検索)
キーワード
machine learning, inelastic mean free path
刊行年月日
2021-03-24
更新時刻
2024-01-05 22:13:49 +0900
jmca2024_NaSulfideConductor_esi_rj.pdf
Computational discovery of stable Na-ion sulfide solid electrolytes with high conductivity at room temperature
ジャーナル論文
著者
Seong-Hoon Jang (author) (この著者で検索)
ORCID ;
Randy Jalem (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI ;
Yoshitaka Tateyama (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI
キーワード
all solid state batteries, solid electrolytes, high-throughput first-principles calculation, computational materials search, machine learning, sodium ion conductors
刊行年月日
2024-08-05
更新時刻
2024-10-10 16:30:52 +0900