Record link: 
http://hdl.handle.net/20.500.12708/208967
-
Title: 
Learning a fixed point action for SU(3) gauge theory with lattice gauge equivariant convolutional neural networks
en
Citation: 
Ipp, A., Holland, K., Müller, D. I., & Wenger, U. (2024, July 19). Learning a fixed point action for SU(3) gauge theory with lattice gauge equivariant convolutional neural networks [Poster Presentation]. iTHEMS NOW & NEXT 2024, RIKEN Wako, Tokio, Japan. http://hdl.handle.net/20.500.12708/208967
-
Publication Type: 
Presentation - Poster Presentation
en
Language: 
English
-
Authors: 
Ipp, Andreas 
Holland, Kieran 
Müller, David I. 
Wenger, Urs 
-
Organisational Unit: 
E136 - Institut für Theoretische Physik 
-
Date (published): 
19-Jul-2024
-
Event name: 
iTHEMS NOW & NEXT 2024 
en
Event date: 
19-Jul-2024
-
Event place: 
RIKEN Wako, Tokio, Japan
-
Keywords: 
Machine Learning; Lattice Gauge Theory
en
Research facilities: 
Vienna Scientific Cluster 
-
Project title: 
Glasma-Simulationen mit maschinellem Lernen hochskalieren: P 32446-N27 (FWF - Österr. Wissenschaftsfonds) 
Simulation der frühesten Stadien von Schwerionenkollisionen: P 34764-N (FWF - Österr. Wissenschaftsfonds) 
Nichtperturbative Eigenschaften evolvierenden gluonischer Plasmen: P 34455-N (FWF - Österr. Wissenschaftsfonds) 
-
Additional information: 
https://ithems.riken.jp/en/events/ithems-now-next-2024
-
Research Areas: 
Quantum Modeling and Simulation: 40%
Modeling and Simulation: 60%
-
Science Branch: 
1020 - Informatik: 40%
1030 - Physik, Astronomie: 60%
-
Appears in Collections:
Presentation

Show full item record

Google ScholarTM

Check