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 Inter-Atomic Potentials Generation Driven ..:
Sivaraman, Ganesh
;
Krishnamoorthy, Anand Narayanan
;
Baur, Matthias
...
http://arxiv.org/abs/1910.10254. , 2019
Link:
http://arxiv.org/abs/1910.10254
RT Journal T1
Machine Learning Inter-Atomic Potentials Generation Driven by Active Learning: A Case Study for Amorphous and Liquid Hafnium dioxide
UL https://suche.suub.uni-bremen.de/peid=base-ftarxivpreprints:oai:arXiv.org:1910.10254&Exemplar=1&LAN=DE A1 Sivaraman, Ganesh A1 Krishnamoorthy, Anand Narayanan A1 Baur, Matthias A1 Holm, Christian A1 Stan, Marius A1 Csányi, Gabor A1 Benmore, Chris A1 Vázquez-Mayagoitia, Álvaro YR 2019 K1 Condensed Matter - Materials Science K1 Computer Science - Machine Learning K1 Physics - Computational Physics JF http://arxiv.org/abs/1910.10254 LK http://arxiv.org/abs/1910.10254 DO http://arxiv.org/abs/1910.10254 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)