- Creative Commons BY Attribution 4.0 International (14)
- In Copyright (8)
- Creative Commons BY-NC Attribution-NonCommercial 4.0 International (1)
- Creative Commons BY-NC-ND Attribution-NonCommercial-NoDerivs 4.0 International (1)
- https://creativecommons.org/licenses/by-nc/3.0/ (1)
- https://creativecommons.org/licenses/by-nc/3.0/legalcode (1)
26 件のレコードが見つかりました。
Machine Learning as a “Catalyst” for Advancements in Carbon Nanotube Research
- ジャーナル論文
- 著者
-
Guohai Chen (author) (この著者で検索)
https://orcid.org/0000-0001-8481-0972
(unauthenticated)
;
Dai-Ming Tang (author) (この著者で検索)
- キーワード
- machine learning, carbon nanotube, in situ TEM, growth mechanism
- 刊行年月日
- 2024-10-22
- 更新時刻
- 2024-12-24 13:58:23 +0900
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 ScienceShoichi Matsuda (author) (この著者で検索)National Institute for Materials Science
;
;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
- 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
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)
https://orcid.org/0000-0001-6558-8317
(unauthenticated)
;
;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)
https://orcid.org/0000-0002-7713-2154
(unauthenticated)
;
Pragati A. Shinde (author) (この著者で検索)
https://orcid.org/0000-0003-1730-2374
(unauthenticated)
;
Katsuhiko Ariga (author) (この著者で検索)
;
Lok Kumar Shrestha (author) (この著者で検索)
- 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
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)Isao Kuwajima (author) (この著者で検索)
;
Guillaume Lambard (author) (この著者で検索)National Institute for Materials Science
;
;Kenta Hongo (author) (この著者で検索)Yibin Xu (author) (この著者で検索)
;
;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
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
;
Hideki Yoshikawa (author) (この著者で検索)National Institute for Materials Science
;
Shigeo Tanuma (author) (この著者で検索)National Institute for Materials Science
;
;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
Machine-Learning-Driven Discovery of Mn4+-Doped Red-Emitting Fluorides with Short Excited-State Lifetime and High Efficiency for Mini Light-Emitting Diode Displays
- ジャーナル論文
- 著者
-
Hong Ming (author) (この著者で検索)
https://orcid.org/0000-0003-0118-1897
(unauthenticated)
;
;Yayun Zhou (author) (この著者で検索)Maxim S. Molokeev (author) (この著者で検索)
https://orcid.org/0000-0002-8297-0945
(unauthenticated)
;
;Chuang Zhang (author) (この著者で検索);Lin Huang (author) (この著者で検索);Yuanjing Wang (author) (この著者で検索)Hong-Tao Sun (author) (この著者で検索)
;
Enhai Song (author) (この著者で検索)
https://orcid.org/0000-0003-1666-0532
(unauthenticated)
;
Qinyuan Zhang (author) (この著者で検索)
https://orcid.org/0000-0001-6544-4735
(unauthenticated)
- キーワード
- luminescent materials, machine learning
- 刊行年月日
- 2024-05-06
- 更新時刻
- 2025-04-03 08:30:20 +0900
Supercon 2 Dataset
- データセット
- 著者
-
Foppiano, Luca (author) (この著者で検索)
- キーワード
- superconductors, machine learning, dataset, tdm, materials science
- 刊行年月日
- 2022-09-10
- 更新時刻
- 2022-10-18 10:11:01 +0900
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
;
Baptista de Castro, Pedro (author) (この著者で検索)
https://orcid.org/0000-0001-8673-2840
(unauthenticated)
NIMS MANA
;
Ortiz Suarez, Pedro (author) (この著者で検索)
https://orcid.org/0000-0003-0343-8852
(unauthenticated)
University of Mannheim Data and Web Science Group
;
Terashima, Kensei (author) (この著者で検索)
;
Takano, Yoshihiko (author) (この著者で検索)
;
Ishii, Masashi (author) (この著者で検索)
https://orcid.org/0000-0002-7721-9735
(unauthenticated)
NIMS MaDIS
- 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
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
-
Paripat Kraisornkachit (author) (この著者で検索)
;
Masanobu Naito (author) (この著者で検索)
;
Chao Kang (author) (この著者で検索)
https://orcid.org/0000-0002-9567-0976
(unauthenticated)
;
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
Artificial Intelligence‐Driven Nanoarchitectonics for Smart Targeted Drug Delivery
- ジャーナル論文
- 著者
-
;Hayeon Bae (author) (この著者で検索);Hyunsub Ji (author) (この著者で検索);Konstantin Konstantinov (author) (この著者で検索);Ronald Sluyter (author) (この著者で検索)Katsuhiko Ariga (author) (この著者で検索)National Institute for Materials Science
;
;Yong Ho Kim (author) (この著者で検索)Jung Ho Kim (author) (この著者で検索)
- 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