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
Capacity prediction of K-ion batteries: a machine learning ..:
Manna, Souvik
;
Roy, Diptendu
;
Das, Sandeep
.
Materials Advances. 3 (2022) 21 - p. 7833-7845 , 2022
Link:
https://doi.org/10.1039/d2ma00746k
RT Journal T1
Capacity prediction of K-ion batteries: a machine learning based approach for high throughput screening of electrode materials
UL https://suche.suub.uni-bremen.de/peid=cr-10.1039_d2ma00746k&Exemplar=1&LAN=DE A1 Manna, Souvik A1 Roy, Diptendu A1 Das, Sandeep A1 Pathak, Biswarup PB Royal Society of Chemistry (RSC) YR 2022 SN 2633-5409 JF Materials Advances VO 3 IS 21 SP 7833 OP 7845 LK http://dx.doi.org/https://doi.org/10.1039/d2ma00746k DO https://doi.org/10.1039/d2ma00746k SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)