Követés
David I. Müller
David I. Müller
Postdoc, Institute for Theoretical Physics, TU Wien, Austria
E-mail megerősítve itt: tuwien.ac.at
Cím
Hivatkozott rá
Hivatkozott rá
Év
Lattice gauge equivariant convolutional neural networks
M Favoni, A Ipp, DI Müller, D Schuh
Physical Review Letters 128 (3), 032003, 2022
762022
Jet momentum broadening in the pre-equilibrium Glasma
A Ipp, DI Müller, D Schuh
Physics Letters B 810, 135810, 2020
532020
Anisotropic momentum broadening in the glasma: Analytic weak field approximation and lattice simulations
A Ipp, DI Müller, D Schuh
Physical Review D 102 (7), 074001, 2020
502020
Simulating jets and heavy quarks in the glasma using the colored particle-in-cell method
D Avramescu, V Băran, V Greco, A Ipp, D Müller, M Ruggieri
Physical Review D 107 (11), 114021, 2023
462023
Broken boost invariance in the Glasma via finite nuclei thickness
A Ipp, D Müller
Physics Letters B 771, 74-79, 2017
412017
Simulating collisions of thick nuclei in the color glass condensate framework
D Gelfand, A Ipp, D Müller
Physical Review D 94 (1), 014020, 2016
382016
Generalization capabilities of translationally equivariant neural networks
S Bulusu, M Favoni, A Ipp, DI Müller, D Schuh
Physical Review D 104 (7), 074504, 2021
292021
Spacetime structure of color fields in high energy nuclear collisions
A Ipp, DI Müller, S Schlichting, P Singh
Physical Review D 104 (11), 114040, 2021
262021
Progress on 3+1D Glasma simulations
A Ipp, DI Müller
The European Physical Journal A 56 (9), 1-9, 2020
232020
Tackling a VRP challenge to redistribute scarce equipment within time windows using metaheuristic algorithms
A Kheiri, AG Dragomir, D Mueller, J Gromicho, C Jagtenberg, ...
EURO Journal on Transportation and Logistics 8 (5), 561-595, 2019
222019
Stabilizing complex Langevin for real-time gauge theories with an anisotropic kernel
K Boguslavski, P Hotzy, DI Müller
Journal of High Energy Physics 2023 (6), 1-42, 2023
212023
Implicit schemes for real-time lattice gauge theory
A Ipp, D Müller
The European Physical Journal C 78, 1-26, 2018
192018
Simulations of the Glasma in 3+ 1D
D Müller
arXiv preprint arXiv:1904.04267, 2019
152019
Machine learning a fixed point action for SU (3) gauge theory with a gauge equivariant convolutional neural network
K Holland, A Ipp, DI Müller, U Wenger
Physical Review D 110 (7), 074502, 2024
102024
Energy-momentum tensor of the dilute glasma
A Ipp, M Leuthner, DI Müller, S Schlichting, K Schmidt, P Singh
Physical Review D 109 (9), 094040, 2024
102024
Applications of lattice gauge equivariant neural networks
M Favoni, A Ipp, DI Müller
EPJ Web of Conferences 274, 09001, 2022
92022
Geometrical aspects of lattice gauge equivariant convolutional neural networks
J Aronsson, DI Müller, D Schuh
arXiv preprint arXiv:2303.11448, 2023
72023
Real-time correlators in thermal lattice gauge theory
K Boguslavski, P Hotzy, DI Müller
Physical Review D 109 (9), 094518, 2024
52024
Equivariance and generalization in neural networks
S Bulusu, M Favoni, A Ipp, DI Müller, D Schuh
EPJ Web of Conferences 258, 09001, 2022
52022
Rapidity profiles from 3+1D glasma simulations with finite longitudinal thickness
A Ipp, D Müller
arXiv preprint arXiv:1710.01732, 2017
52017
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Cikkek 1–20