Results

eNauka >  Rezultati >  Collaborative neural networks-accelerated prediction of transition state energy barriers for CO catalytic oxidation
Title: Collaborative neural networks-accelerated prediction of transition state energy barriers for CO catalytic oxidation
Authors: Tang, Tian; Xue, Jingyu; Shen, Xiaoqiang; Chen, Jinfei; Rac, Vladislav A  ; Rakic, Vesna M  ; Li, Xinbao; Zhou, Bo; Chen, Yanrong; Song, Hao;
Issue Date: 2024
Publication: JOURNAL OF ALLOYS AND COMPOUNDS
ISSN: 0925-8388 Journal of Alloys and Compounds Search Idenfier
Type: Article
Collation: vol. 1002 str. 175546-175546
DOI: 10.1016/j.jallcom.2024.175546
WoS-ID: 001272314700001
Scopus-ID: 2-s2.0-85198264681
URI: https://aspace.agrif.bg.ac.rs/handle/123456789/7287
https://enauka.gov.rs/handle/123456789/929189
Project: National Key R & D Program of China [2021YFE0110800]
National Natural Sci- ence Foundation of China [52176100]
Natural Science Foundation of Chongqing [cstc2021jcyj-msxmX0247]
Metadata source: (Preuzeto iz Nasi u WoS)
M-category: 
21aM21a

5
SCOPUSTM
6
WEB OF SCIENCETM
Altmetric
Dimensions
Unpaywall

Items in eNauka are protected by copyright, with all rights reserved, unless otherwise indicated.