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David I. Müller
David I. Müller
Postdoc, Institute for Theoretical Physics, TU Wien, Austria
Email verificata su tuwien.ac.at
Titolo
Citata da
Citata da
Anno
Lattice gauge equivariant convolutional neural networks
M Favoni, A Ipp, DI Müller, D Schuh
Physical Review Letters 128 (3), 032003, 2022
522022
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
402020
Jet momentum broadening in the pre-equilibrium Glasma
A Ipp, DI Müller, D Schuh
Physics Letters B 810, 135810, 2020
392020
Broken boost invariance in the Glasma via finite nuclei thickness
A Ipp, D Müller
Physics Letters B 771, 74-79, 2017
342017
Simulating collisions of thick nuclei in the color glass condensate framework
D Gelfand, A Ipp, D Müller
Physical Review D 94 (1), 014020, 2016
332016
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
222023
Generalization capabilities of translationally equivariant neural networks
S Bulusu, M Favoni, A Ipp, DI Müller, D Schuh
Physical Review D 104 (7), 074504, 2021
212021
Progress on 3+1D Glasma simulations
A Ipp, DI Müller
The European Physical Journal A 56 (9), 1-9, 2020
182020
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
182019
Implicit schemes for real-time lattice gauge theory
A Ipp, D Müller
The European Physical Journal C 78, 1-26, 2018
162018
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
132021
Simulations of the Glasma in 3+ 1D
D Müller
arXiv preprint arXiv:1904.04267, 2019
102019
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
82023
Lattice gauge equivariant convolutional neural networks (2020)
M Favoni, A Ipp, DI Müller, D Schuh
arXiv preprint arXiv:2012.12901, 0
6
Rapidity profiles from 3+1D glasma simulations with finite longitudinal thickness
A Ipp, D Müller
arXiv preprint arXiv:1710.01732, 2017
52017
A stabilizing kernel for complex Langevin simulations of real-time gauge theories
K Boguslavski, P Hotzy, DI Müller
arXiv preprint arXiv:2210.08020, 2022
42022
Generalization capabilities of translationally equivariant neural networks (2021)
S Bulusu, M Favoni, A Ipp, DI Müller, D Schuh
arXiv preprint arXiv:2103.14686, 0
4
Applications of lattice gauge equivariant neural networks
M Favoni, A Ipp, DI Müller
EPJ Web of Conferences 274, 09001, 2022
32022
Energy-momentum tensor of the dilute (3+ 1) D Glasma
A Ipp, M Leuthner, DI Müller, S Schlichting, K Schmidt, P Singh
arXiv preprint arXiv:2401.10320, 2024
12024
Fixed point actions from convolutional neural networks
K Holland, A Ipp, DI Müller, U Wenger
arXiv preprint arXiv:2311.17816, 2023
12023
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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