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

Filter:
Author:  Schuh, D.

Results 1-20 of 21 (Search time: 0.002 seconds).

PreviewAuthor(s)TitleTypeIssue Date
1Ipp, Andreas ; Müller, David ; Schuh, Daniel ; Favoni, Matteo Visualizing the inner workings of L-CNNsPresentation Vortrag27-Jun-2023
2Aronsson, Jimmy ; Müller, David ; Schuh, Daniel Geometrical aspects of lattice gauge equivariant convolutional neural networksPreprint Preprint23-Mar-2023
3Schuh, Daniel Transverse momentum broadening in the glasma: real-time lattice simulations and the weak-field limitPresentation Vortrag6-Apr-2022
4Ipp, Andreas ; Mueller, David ; Favoni, Matteo ; Schuh, Daniel Preserving gauge invariance in neural networksKonferenzbeitrag Inproceedings 2022
5Favoni, Matteo ; Ipp, Andreas ; Müller, David I. ; Schuh, Daniel Lattice gauge equivariant convolutional neural networksArtikel Article 2022
6Bulusu, Srinath ; Favoni, Matteo ; Ipp, Andreas ; Mueller, David ; Schuh, Daniel Translational equivariance in neural networksPräsentation Presentation2021
7Ipp, Andreas ; Favoni, Matteo ; Mueller, David ; Schuh, Daniel Preserving lattice gauge equivariance in neural networksPräsentation Presentation2021
8Ipp, Andreas ; Favoni, Matteo ; Mueller, David ; Schuh, Daniel Generic Lattice gauge equivariant CNNPräsentation Presentation2021
9Bulusu, Srinath ; Favoni, Matteo ; Ipp, Andreas ; Müller, David I. ; Schuh, Daniel Generalization capabilities of translationally equivariant neural networksArtikel Article 2021
10Ipp, Andreas ; Mueller, David ; Schuh, Daniel Transverse momentum broadening in real-time lattice simulations of the glasmaPräsentation Presentation2021
11Favoni, Matteo ; Ipp, Andreas ; Mueller, David ; Schuh, Daniel Lattice Gauge Symmetry in Neural NetworksPräsentation Presentation2021
12Favoni, Matteo ; Ipp, Andreas ; Mueller, David ; Schuh, Daniel Implementing gauge symmetry in machine learning modelsPräsentation Presentation2021
13Bulusu, Srinath ; Favoni, Matteo ; Ipp, Andreas ; Mueller, David ; Schuh, Daniel Generalization capabilities of neural networks in lattice applicationsPräsentation Presentation2021
14Ipp, Andreas ; Mueller, David ; Schuh, Daniel Transverse momentum broadening of jets in the weak field limit of the glasmaPräsentation Presentation2021
15Ipp, Andreas ; Mueller, David ; Schuh, Daniel Jet momentum broadening in real-time lattice simulations of the glasmaPräsentation Presentation2021
16Ipp, 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
17Ipp, Andreas ; Mueller, David ; Schuh, Daniel Simulations of the Glasma in 2+1D and 3+1DPräsentation Presentation2020
18Ipp, Andreas ; Mueller, David ; Schuh, Daniel Jet transverse momentum broadening in the GlasmaPräsentation Presentation2020
19Ipp, Andreas ; Mueller, David ; Schuh, Daniel Momentum broadening in the GlasmaPräsentation Presentation2020
20Ipp, A. ; Müller, D.I. ; Schuh, D. Jet momentum broadening in the pre-equilibrium GlasmaArtikel Article 2020