Record link: 
http://hdl.handle.net/20.500.12708/192944
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Title: 
Applications of group and gauge equivariant neural networks to problems in lattice field theory
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Citation: 
Müller, D. (2023, May 16). Applications of group and gauge equivariant neural networks to problems in lattice field theory [Poster Presentation]. HPC Workshop for Nuclear Explosion Monitoring, Vienna, Austria.
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Publication Type: 
Presentation - Poster Presentation
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Language: 
English
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Authors: 
Müller, David 
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Organisational Unit: 
E136 - Institut für Theoretische Physik 
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Date (published): 
16-May-2023
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Event name: 
HPC Workshop for Nuclear Explosion Monitoring 
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Event date: 
15-May-2023 - 17-May-2023
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Event place: 
Vienna, Austria
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Keywords: 
Convolutional Neural Networks; Lattice Gauge Theory
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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) 
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Link (external): 
https://ctnw.ctbto.org/ctnw/event/8859
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Research Areas: 
Quantum Modeling and Simulation: 60%
Information Systems Engineering: 40%
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Science Branch: 
1020 - Informatik: 40%
1030 - Physik, Astronomie: 60%
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Appears in Collections:
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