Keyword: machine learning

4 records found. Displaying records 1 to 4.

Acquiring and transferring comprehensive catalyst knowledge through integrated high-throughput experimentation and automatic feature engineering.pdf
Acquiring and transferring comprehensive catalyst knowledge through integrated high-throughput experimentation and automatic feature engineering
Journal article
Creator
Ayu Fujiwara (author) (Search by this author)
Graduate School of Advanced Science and Technology, Japan Advanced Institute of Science and Technology
;
Sunao Nakanowatari (author) (Search by this author)
Graduate School of Advanced Science and Technology, Japan Advanced Institute of Science and Technology
;
Yohei Cho (author) (Search by this author)
Graduate School of Advanced Science and Technology, Japan Advanced Institute of Science and Technology
;
Toshiaki Taniike (author) (Search by this author)
Graduate School of Advanced Science and Technology, Japan Advanced Institute of Science and Technology
Keyword
Catalyst informatics, machine learning, high-throughput experimentation, descriptor, oxidative coupling of methane
Date published
2025-12-31
Updated at
2025-07-16 16:17:04 +0900

74_Roadmap_J Phys Energy 2023_Roadmap on molecular modelling of electrochemical energy materials.pdf
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)
ORCID SAMURAI ;
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

esi_clean.pdf
Multiobjective Solid Electrolyte Design of Tetragonal and Cubic Inverse-Perovskites for All-Solid-State Lithium-Ion Batteries by High-Throughput Density Functional Theory Calculations and AI-Driven Methods
Journal article
Creator
JALEM Randy (author) (Search by this author)
Research Center for Energy and Environmental Materials (GREEN)/Battery and Cell Materials Field/Interface Electrochemistry Group, National Institute for Materials Science
ORCID SAMURAI ;
TATEYAMA Yoshitaka (author) (Search by this author)
Research Center for Energy and Environmental Materials (GREEN)/Battery and Cell Materials Field/Interface Electrochemistry Group, National Institute for Materials Science
ORCID SAMURAI ;
TAKADA Kazunori (author) (Search by this author)
Research Center for Energy and Environmental Materials (GREEN)/Battery and Cell Materials Field/Solid-State Battery Group, National Institute for Materials Science
ORCID SAMURAI ;
JANG Seonghoon (author) (Search by this author)
Research Center for Energy and Environmental Materials (GREEN)/Battery and Cell Materials Field/Interface Electrochemistry Group, National Institute for Materials Science
Keyword
all solid state batteries, solid electrolytes, density functional theory, materials informatics, machine learning, novel materials search
Date published
2023-09-07
Updated at
2024-08-28 08:30:15 +0900

Dataset
Supercon 2 Dataset
Dataset
Creator
ORCID
Keyword
superconductors, machine learning, dataset, tdm, materials science
Date published
2022-09-10
Updated at
2022-10-18 10:11:01 +0900

Filter