13 件のレコードが見つかりました。
Self-Energy Spectroscopy and Artificial Neural Network
- ジャーナル論文
- 著者
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Youhei Yamaji (author) (この著者で検索)
- 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
Supercon 2 Dataset
- データセット
- 著者
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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
Artificial Intelligence‐Driven Nanoarchitectonics for Smart Targeted Drug Delivery
- ジャーナル論文
- 著者
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;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
Computational discovery of stable Na-ion sulfide solid electrolytes with high conductivity at room temperature
- ジャーナル論文
- 著者
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Seong-Hoon Jang (author) (この著者で検索)
https://orcid.org/0000-0001-6026-636X
(unauthenticated)
;
Randy Jalem (author) (この著者で検索)National Institute for Materials Science
;
Yoshitaka Tateyama (author) (この著者で検索)National Institute for Materials Science
- 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
Machine Learning as a “Catalyst” for Advancements in Carbon Nanotube Research
- ジャーナル論文
- 著者
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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
Automatic Extraction of Materials and Properties from Superconductors Scientific Literature
- ジャーナル論文
- 著者
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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
2023 Roadmap on molecular modelling of electrochemical energy materials
- ジャーナル論文
- 著者
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;Chao Zhang (author) (この著者で検索);Jun Cheng (author) (この著者で検索);Yiming Chen (author) (この著者で検索);Maria K Y Chan (author) (この著者で検索);Qiong Cai (author) (この著者で検索);Rodrigo P Carvalho (author) (この著者で検索);Cleber F N Marchiori (author) (この著者で検索);Daniel Brandell (author) (この著者で検索);C Moyses Araujo (author) (この著者で検索);Ming Chen (author) (この著者で検索);Xiangyu Ji (author) (この著者で検索);Guang Feng (author) (この著者で検索);Kateryna Goloviznina (author) (この著者で検索);Alessandra Serva (author) (この著者で検索);Mathieu Salanne (author) (この著者で検索)Toshihiko Mandai (author) (この著者で検索)National Institute for Materials Science (NIMS)
;
;Tomooki Hosaka (author) (この著者で検索);Mirna Alhanash (author) (この著者で検索);Patrik Johansson (author) (この著者で検索);Yun-Ze Qiu (author) (この著者で検索);Hai Xiao (author) (この著者で検索);Michael Eikerling (author) (この著者で検索);Ryosuke Jinnouchi (author) (この著者で検索);Marko M Melander (author) (この著者で検索);Georg Kastlunger (author) (この著者で検索);Assil Bouzid (author) (この著者で検索);Alfredo Pasquarello (author) (この著者で検索);Seung-Jae Shin (author) (この著者で検索);Minho M Kim (author) (この著者で検索);Hyungjun Kim (author) (この著者で検索);Kathleen Schwarz (author) (この著者で検索)Ravishankar Sundararaman (author) (この著者で検索)
- キーワード
- electrochemical interfaces, density-functional theory, molecular dynamics simulation, electrochemical energy storage, machine learning, electrocatalysis
- 刊行年月日
- 2023-10-01
- 更新時刻
- 2024-03-22 00:53:39 +0900
Predicting the surface roughness of an electrodeposited copper film using a machine learning technique
- ジャーナル論文
- 著者
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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
;
;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 CORPORATIONShoichi 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
- 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
Time-domain thermoreflectance technique using multiple delayed probe pulses for high-throughput data acquisition and analysis
- ジャーナル論文
- 著者
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;Hiroto Arima (author) (この著者で検索)National Institute of Advanced Industrial Science and Technology (AIST) National Metrology Institute of Japan (NMIJ);Yuichiro Yamashita (author) (この著者で検索)Takashi Yagi (author) (この著者で検索)
- キーワード
- Time-domain thermoreflectance, multiple delay, thin film, thermal effusivity, interfacial thermal resistance, machine learning
- 刊行年月日
- 2025-12-31
- 更新時刻
- 2025-07-16 16:14:58 +0900
Pitfalls in Artificial Intelligence Powered Discovery Due to Electrocatalyst Evaluation Methodologies
- ジャーナル論文
- 著者
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;Abraham Castro Garcia (author) (この著者で検索)Ken Sakaushi (author) (この著者で検索)National Institute for Materials Science
- キーワード
- machine learning
- 刊行年月日
- 2025-09-04
- 更新時刻
- 2026-04-30 12:01:11 +0900