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 to explore high-entropy alloys with desire..:
Dangwal, Shivam
;
Ikeda, Yuji
;
Grabowski, Blazej
.
Chemical Engineering Journal. 493 (2024) - p. 152606 , 2024
Link:
https://doi.org/10.1016/j.cej.2024.152606
RT Journal T1
Machine learning to explore high-entropy alloys with desired enthalpy for room-temperature hydrogen storage: Prediction of density functional theory and experimental data
UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.cej.2024.152606&Exemplar=1&LAN=DE A1 Dangwal, Shivam A1 Ikeda, Yuji A1 Grabowski, Blazej A1 Edalati, Kaveh PB Elsevier BV YR 2024 SN 1385-8947 JF Chemical Engineering Journal VO 493 SP 152606 LK http://dx.doi.org/https://doi.org/10.1016/j.cej.2024.152606 DO https://doi.org/10.1016/j.cej.2024.152606 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)