Upscaling Glasma simulations using machine learning

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Primary Data

Project Acronym Projekt Kurzbezeichnung
Glasma-ML
 
Project Title (de) Projekttitel (de)
Upscaling Glasma simulations using machine learning
 
Project Title (en) Projekttitel (en)
Upscaling Glasma simulations using machine learning
 
Consortium Coordinator Koordinator des Konsortiums
 
Principal Investigator Projektleiter_in
 

Grants

Funder/Funding Agency Fördergeber
FWF - Österr. Wissenschaftsfonds
Grant number Förderkennnummer
P 32446-N27
 

Publications

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Subject:  Lattice Gauge Theory

Results 1-6 of 6 (Search time: 0.005 seconds).

PreviewAuthor(s)TitleTypeIssue Date
1Holland, Kieran ; Ipp, Andreas ; Müller, David ; Wenger, Urs Fixed point actions from convolutional neural networksInproceedings Konferenzbeitrag29-Nov-2023
2Ipp, Andreas Symmetries and MLPresentation Vortrag18-Aug-2023
3Wenger, Urs ; Ipp, Andreas ; Müller, David ; Holland, Kieran Machine learning a fixed point actionPresentation Vortrag28-Jun-2023
4Ipp, Andreas ; Müller, David ; Schuh, Daniel ; Favoni, Matteo Visualizing the inner workings of L-CNNsPresentation Vortrag27-Jun-2023
5Müller, David Applications of group and gauge equivariant neural networks to problems in lattice field theoryPresentation Vortrag16-May-2023
6Aronsson, Jimmy ; Müller, David ; Schuh, Daniel Geometrical aspects of lattice gauge equivariant convolutional neural networksPreprint Preprint23-Mar-2023