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
A Scalable Molecular Force Field Parameterization Method Ba..:
Galvelis, Raimondas
;
Doerr, Stefan
;
Damas, João M.
..
Journal of Chemical Information and Modeling. 59 (2019) 8 - p. 3485-3493 , 2019
Link:
https://doi.org/10.1021/acs.jcim.9b00439
RT Journal T1 <Title>A Scalable Molecular Force Field Parameterization Method Based on Density Functional Theory and Quantum-Level Machine Learning</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1021_acs.jcim.9b00439&Exemplar=1&LAN=DE A1 Galvelis, Raimondas A1 Doerr, Stefan A1 Damas, João M. A1 Harvey, Matt J. A1 De Fabritiis, Gianni PB American Chemical Society (ACS) YR 2019 SN 1549-9596 SN 1549-960X JF Journal of Chemical Information and Modeling VO 59 IS 8 SP 3485 OP 3493 LK http://dx.doi.org/https://doi.org/10.1021/acs.jcim.9b00439 DO https://doi.org/10.1021/acs.jcim.9b00439 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
