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 models for the density and heat capacity o..:
Fu, Yingxue
;
Liu, Xinyan
;
Gao, Jingzi
...
Chinese Journal of Chemical Engineering. 73 (2024) - p. 244-255 , 2024
Link:
https://doi.org/10.1016/j.cjche.2024.04.019
RT Journal T1 <Title>Machine learning models for the density and heat capacity of ionic liquid–water binary mixtures</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.cjche.2024.04.019&Exemplar=1&LAN=DE A1 Fu, Yingxue A1 Liu, Xinyan A1 Gao, Jingzi A1 Lei, Yang A1 Chen, Yuqiu A1 Zhang, Xiangping PB Elsevier BV YR 2024 SN 1004-9541 JF Chinese Journal of Chemical Engineering VO 73 SP 244 OP 255 LK http://dx.doi.org/https://doi.org/10.1016/j.cjche.2024.04.019 DO https://doi.org/10.1016/j.cjche.2024.04.019 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
