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
Voting Data-Driven Regression Learning for Accelerating Dis..:
Ma, Xing-Yu
;
Lyu, Hou-Yi
;
Dong, Xue-Juan
...
The Journal of Physical Chemistry Letters. 12 (2021) 3 - p. 973-981 , 2021
Link:
https://doi.org/10.1021/acs.jpclett.0c03136
RT Journal T1 <Title>Voting Data-Driven Regression Learning for Accelerating Discovery of Advanced Functional Materials and Applications to Two-Dimensional Ferroelectric Materials</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1021_acs.jpclett.0c03136&Exemplar=1&LAN=DE A1 Ma, Xing-Yu A1 Lyu, Hou-Yi A1 Dong, Xue-Juan A1 Zhang, Zhen A1 Hao, Kuan-Rong A1 Yan, Qing-Bo A1 Su, Gang PB American Chemical Society (ACS) YR 2021 SN 1948-7185 SN 1948-7185 JF The Journal of Physical Chemistry Letters VO 12 IS 3 SP 973 OP 981 LK http://dx.doi.org/https://doi.org/10.1021/acs.jpclett.0c03136 DO https://doi.org/10.1021/acs.jpclett.0c03136 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
