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
TorchMD-Net 2.0: Fast Neural Network Potentials for Molecul..:
Pelaez, Raul P.
;
Simeon, Guillem
;
Galvelis, Raimondas
...
Journal of Chemical Theory and Computation. 20 (2024) 10 - p. 4076-4087 , 2024
Link:
https://doi.org/10.1021/acs.jctc.4c00253
RT Journal T1 <Title>TorchMD-Net 2.0: Fast Neural Network Potentials for Molecular Simulations</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1021_acs.jctc.4c00253&Exemplar=1&LAN=DE A1 Pelaez, Raul P. A1 Simeon, Guillem A1 Galvelis, Raimondas A1 Mirarchi, Antonio A1 Eastman, Peter A1 Doerr, Stefan A1 Thölke, Philipp A1 Markland, Thomas E. A1 De Fabritiis, Gianni PB American Chemical Society (ACS) YR 2024 SN 1549-9618 SN 1549-9626 JF Journal of Chemical Theory and Computation VO 20 IS 10 SP 4076 OP 4087 LK http://dx.doi.org/https://doi.org/10.1021/acs.jctc.4c00253 DO https://doi.org/10.1021/acs.jctc.4c00253 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
