4 records found.
Supercon 2 Dataset
- Dataset
- Creator
-
Foppiano, Luca (author) (Search by this author)
- Keyword
- superconductors, machine learning, dataset, tdm, materials science
- Date published
- 2022-09-10
- Updated at
- 2022-10-18 10:11:01 +0900
Er-driven magnetic tunability in FePt thin films investigated via high-throughput experiments and microstructure analysis for future HAMR media
- Journal article
- Creator
-
Daisuke Ogawa (author) (Search by this author)National Institute for Materials Science
;
Yuma Iwasaki (author) (Search by this author)National Institute for Materials Science
;
Jun Uzuhashi (author) (Search by this author)National Institute for Materials Science
;
Yuta Sasaki (author) (Search by this author)National Institute for Materials Science
;
;Masato Kotsugi (author) (Search by this author)Yukiko K. Takahashi (author) (Search by this author)National Institute for Materials Science
- Keyword
- heat-assisted magnetic recording, FePt, combinatorial, high throughput, machine learning, rare-earth doping
- Date published
- 2025-06-23
- Updated at
- 2025-07-11 08:30:48 +0900
Machine Learning as a “Catalyst” for Advancements in Carbon Nanotube Research
- Journal article
- Creator
-
Guohai Chen (author) (Search by this author)
https://orcid.org/0000-0001-8481-0972
(unauthenticated)
;
Dai-Ming Tang (author) (Search by this author)
- Keyword
- machine learning, carbon nanotube, in situ TEM, growth mechanism
- Date published
- 2024-10-22
- Updated at
- 2024-12-24 13:58:23 +0900
2023 Roadmap on molecular modelling of electrochemical energy materials
- Journal article
- Creator
-
;Chao Zhang (author) (Search by this author);Jun Cheng (author) (Search by this author);Yiming Chen (author) (Search by this author);Maria K Y Chan (author) (Search by this author);Qiong Cai (author) (Search by this author);Rodrigo P Carvalho (author) (Search by this author);Cleber F N Marchiori (author) (Search by this author);Daniel Brandell (author) (Search by this author);C Moyses Araujo (author) (Search by this author);Ming Chen (author) (Search by this author);Xiangyu Ji (author) (Search by this author);Guang Feng (author) (Search by this author);Kateryna Goloviznina (author) (Search by this author);Alessandra Serva (author) (Search by this author);Mathieu Salanne (author) (Search by this author)Toshihiko Mandai (author) (Search by this author)National Institute for Materials Science (NIMS)
;
;Tomooki Hosaka (author) (Search by this author);Mirna Alhanash (author) (Search by this author);Patrik Johansson (author) (Search by this author);Yun-Ze Qiu (author) (Search by this author);Hai Xiao (author) (Search by this author);Michael Eikerling (author) (Search by this author);Ryosuke Jinnouchi (author) (Search by this author);Marko M Melander (author) (Search by this author);Georg Kastlunger (author) (Search by this author);Assil Bouzid (author) (Search by this author);Alfredo Pasquarello (author) (Search by this author);Seung-Jae Shin (author) (Search by this author);Minho M Kim (author) (Search by this author);Hyungjun Kim (author) (Search by this author);Kathleen Schwarz (author) (Search by this author)Ravishankar Sundararaman (author) (Search by this author)
- Keyword
- electrochemical interfaces, density-functional theory, molecular dynamics simulation, electrochemical energy storage, machine learning, electrocatalysis
- Date published
- 2023-10-01
- Updated at
- 2024-03-22 00:53:39 +0900