I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
Machine learning assisted prediction in the discharge capac..:
Li, Jiahui
;
Xi, Shengkun
;
Lei, Tongxing
...
Journal of Energy Storage. 82 (2024) - p. 110196 , 2024
Link:
https://doi.org/10.1016/j.est.2023.110196
RT Journal T1
Machine learning assisted prediction in the discharge capacities of novel MXene cathodes for aluminum ion batteries
UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.est.2023.110196&Exemplar=1&LAN=DE A1 Li, Jiahui A1 Xi, Shengkun A1 Lei, Tongxing A1 Yao, Ruijun A1 Zeng, Fanshuai A1 Wu, Junwei A1 Tu, Shaobo A1 Liu, Xingjun PB Elsevier BV YR 2024 SN 2352-152X JF Journal of Energy Storage VO 82 SP 110196 LK http://dx.doi.org/https://doi.org/10.1016/j.est.2023.110196 DO https://doi.org/10.1016/j.est.2023.110196 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)