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
Investigating Data Reusability in Density Functional Theory..:
, In:
2023 IEEE International Conference on Big Data (BigData)
,
Fleur, Rob
;
Ireland, Addy
;
Zhao, Xintong
... - p. 6143-6144 , 2023
Link:
https://doi.org/10.1109/BigData59044.2023.10386967
RT T1
2023 IEEE International Conference on Big Data (BigData)
: T1
Investigating Data Reusability in Density Functional Theory Studies
UL https://suche.suub.uni-bremen.de/peid=ieee-10386967&Exemplar=1&LAN=DE A1 Fleur, Rob A1 Ireland, Addy A1 Zhao, Xintong A1 McClellan, Scott A1 Paltoo, Eric A1 Su, Tianyu A1 Lee, Channyung A1 An, Yuan A1 Hu, Xiaohua A1 Ertekin, Elif A1 Greenberg, Jane YR 2023 K1 Codes K1 Big Data K1 Market research K1 Density functional theory SP 6143 OP 6144 LK http://dx.doi.org/https://doi.org/10.1109/BigData59044.2023.10386967 DO https://doi.org/10.1109/BigData59044.2023.10386967 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)