Name Card

Full name Familienname, Vorname
Müller, David
 
Main Affiliation Organisations­zuordnung
 

Own Publications Eigene Publikationen


Results 1-20 of 39 (Search time: 0.001 seconds).

PreviewAuthor(s)TitleTypeIssue Date
1Hotzy, Paul ; Boguslavski, Kirill ; Müller, David Towards computing real-time observables from first principlesPresentation Vortrag5-Sep-2023
2Avramescu, Dana ; Băran, Virgil ; Greco, Vincenzo ; Ipp, Andreas ; Müller, David ; Ruggieri, Marco Heavy quark κ and jet ^q transport coefficients in the Glasma early stage of heavy-ion collisionsInproceedings Konferenzbeitrag16-Jul-2023
3Wenger, Urs ; Ipp, Andreas ; Müller, David ; Holland, Kieran Machine learning a fixed point actionPresentation Vortrag28-Jun-2023
4Schuh, Daniel ; Ipp, Andreas ; Müller, David ; Aronsson, Jimmy ; Favoni, Matteo Global and local symmetries in neural networksPresentation Vortrag27-Jun-2023
5Favoni, Matteo ; Ipp, Andreas ; Schuh, Daniel ; Müller, David Using equivariant neural networks as maps of gauge field configurationsPresentation Vortrag27-Jun-2023
6Ipp, Andreas ; Müller, David ; Schuh, Daniel ; Favoni, Matteo Visualizing the inner workings of L-CNNsPresentation Vortrag27-Jun-2023
7Leuthner, Markus ; Ipp, Andreas ; Müller, David ; Singh, Pragya ; Schlichting, Sören 3+1D observables in the dilute GlasmaPresentation Vortrag19-Jun-2023
8Boguslavski, Kirill ; Hotzy, Paul ; Müller, David Taming complex Langevin simulations of real-time lattice gauge theory with an anisotropic kernelInproceedings Konferenzbeitrag19-Jun-2023
9Avramescu, Dana ; Băran, Virgil ; Greco, Vincenzo ; Ipp, Andreas ; David Müller ; Ruggieri, Marco Simulating jets and heavy quarks in the glasma using the colored particle-in-cell methodArticle Artikel 15-Jun-2023
10Boguslavski, Kirill ; Hotzy, Paul ; Müller, David Stabilizing complex Langevin for real-time gauge theories with an anisotropic kernelArticle Artikel 1-Jun-2023
11Müller, David Applications of group and gauge equivariant neural networks to problems in lattice field theoryPresentation Vortrag16-May-2023
12Hotzy-2023-A stabilizing kernel for complex Langevin simulations of real-...-vor.pdf.jpgHotzy, Paul ; Boguslavski, Kirill ; Müller, David I. A stabilizing kernel for complex Langevin simulations of real-time gauge theoriesInproceedings Konferenzbeitrag 6-Apr-2023
13Aronsson, Jimmy ; Müller, David ; Schuh, Daniel Geometrical aspects of lattice gauge equivariant convolutional neural networksPreprint Preprint23-Mar-2023
14Favoni, Matteo ; Ipp, Andreas ; Müller, David ; Schuh, Daniel Generation of gauge field configurations with equivariant neural networksPresentation Vortrag2-Mar-2023
15Boguslavski, Kirill ; Hotzy, Paul ; Müller, David Stabilizing complex Langevin for real-time gauge theoryPresentation VortragMar-2023
16Leuthner, Markus ; Müller, David ; Ipp, Andreas ; Schlichting, Sören ; Singh, Pragya 3+1D energy-momentum tensor of the dilute GlasmaPresentation Vortrag2023
17Avramescu, Dana ; Băran, Virgil ; Ipp, Andreas ; Müller, David ; Greco, Vincenzo ; Ruggieri, Marco Momentum Broadening of Heavy Quarks and Jets in the Glasma from Classical Colored Particle SimulationsInproceedings Konferenzbeitrag 14-Dec-2022
18Hotzy, Paul ; Müller, David ; Boguslavski, Kirill Stabilising the complex Langevin method for real-time simulations of Yang-Mills theoriesPresentation Vortrag5-Dec-2022
19Favoni, Matteo ; Ipp, Andreas ; Müller, David Applications of Lattice Gauge Equivariant Neural NetworksInproceedings Konferenzbeitrag1-Dec-2022
20Leuthner, Markus ; Ipp, Andreas ; Müller, David ; Schlichting, Sören ; Singh, Pragya 3+1D observables in the dilute Glasma of relativistic heavy-ion collisionsPresentation Vortrag29-Sep-2022

Contributing Publications Mitbeteiligte Publikationen


Results 1-1 of 1 (Search time: 0.001 seconds).

PreviewAuthor(s)TitleTypeIssue Date
1Schmidt Kayran - 2022 - A framework for a priori refined adaptive meshes applied...pdf.jpgSchmidt, Kayran A framework for a priori refined adaptive meshes applied to real-time lattice field theory in 1+1DThesis Hochschulschrift 2022