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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Date Issued:  2022

Results 1-3 of 3 (Search time: 0.002 seconds).

PreviewAuthor(s)TitleTypeIssue Date
1Schuh, Daniel Transverse momentum broadening in the glasma: real-time lattice simulations and the weak-field limitPresentation Vortrag6-Apr-2022
2Ipp, Andreas ; Mueller, David ; Favoni, Matteo ; Schuh, Daniel Preserving gauge invariance in neural networksKonferenzbeitrag Inproceedings 2022
3Favoni, Matteo ; Ipp, Andreas ; Müller, David I. ; Schuh, Daniel Lattice gauge equivariant convolutional neural networksArtikel Article 2022