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
NNQS-Transformer: an Efficient and Scalable Neural Network ..:
, In:
Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis
,
Wu, Yangjun
;
Guo, Chu
;
Fan, Yi
.. - p. 1-13 , 2023
Link:
https://dl.acm.org/doi/10.1145/3581784.3607061
RT T1
Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis
: T1
NNQS-Transformer: an Efficient and Scalable Neural Network Quantum States Approach for Ab initio Quantum Chemistry
UL https://suche.suub.uni-bremen.de/peid=acm-3607061&Exemplar=1&LAN=DE A1 Wu, Yangjun A1 Guo, Chu A1 Fan, Yi A1 Zhou, Pengyu A1 Shang, Honghui PB ACM YR 2023 K1 quantum chemistry K1 many-body schrödinger equation K1 neural network quantum state K1 transformer based architecture K1 autoregressive sampling SP 1 OP 13 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3581784.3607061 DO https://dl.acm.org/doi/10.1145/3581784.3607061 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)