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

Results 1-6 of 6 (Search time: 0.002 seconds).

PreviewAuthor(s)TitleTypeIssue Date
1Favoni, Matteo ; Ipp, Andreas ; Müller, David I. ; Schuh, Daniel Lattice gauge equivariant convolutional neural networksArtikel Article 2022
2Bulusu, Srinath ; Favoni, Matteo ; Ipp, Andreas ; Müller, David I. ; Schuh, Daniel Generalization capabilities of translationally equivariant neural networksArtikel Article 2021
3Ipp, Andreas ; Müller, David I. ; Schlichting, Soeren ; Singh, Pragya Spacetime structure of (3+1)D color fields in high energy nuclear collisionsArtikel Article 2021
4Ipp, A. ; Müller, D. I. ; Schuh, D. Anisotropic momentum broadening in the 2+1D glasma: Analytic weak field approximation and lattice simulationsArtikel Article 7-Oct-2020
5Ipp, A. ; Müller, D.I. ; Schuh, D. Jet momentum broadening in the pre-equilibrium GlasmaArtikel Article 2020
6Ipp, Andreas ; Müller, David I. Progress on 3+1D Glasma simulationsArtikel Article 2020