Lattice gauge equivariant convolutional neural networks M Favoni, A Ipp, DI Müller, D Schuh
Physical Review Letters 128 (3), 032003, 2022
53 2022 Jet momentum broadening in the pre-equilibrium Glasma A Ipp, DI Müller, D Schuh
Physics Letters B 810, 135810, 2020
40 2020 Anisotropic momentum broadening in the A Ipp, DI Müller, D Schuh
Physical Review D 102 (7), 074001, 2020
40 2020 Broken boost invariance in the Glasma via finite nuclei thickness A Ipp, D Müller
Physics Letters B 771, 74-79, 2017
35 2017 Simulating collisions of thick nuclei in the color glass condensate framework D Gelfand, A Ipp, D Müller
Physical Review D 94 (1), 014020, 2016
33 2016 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
22 2023 Generalization capabilities of translationally equivariant neural networks S Bulusu, M Favoni, A Ipp, DI Müller, D Schuh
Physical Review D 104 (7), 074504, 2021
21 2021 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
19 2019 Progress on 3+1D Glasma simulations A Ipp, DI Müller
The European Physical Journal A 56 (9), 1-9, 2020
18 2020 Implicit schemes for real-time lattice gauge theory A Ipp, D Müller
The European Physical Journal C 78, 1-26, 2018
16 2018 Spacetime structure of A Ipp, DI Müller, S Schlichting, P Singh
Physical Review D 104 (11), 114040, 2021
13 2021 Simulations of the Glasma in 3+ 1D D Müller
arXiv preprint arXiv:1904.04267, 2019
10 2019 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
9 2023 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
5 2017 A stabilizing kernel for complex Langevin simulations of real-time gauge theories K Boguslavski, P Hotzy, DI Müller
arXiv preprint arXiv:2210.08020, 2022
4 2022 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
3 2022 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
2 2024 Fixed point actions from convolutional neural networks K Holland, A Ipp, DI Müller, U Wenger
arXiv preprint arXiv:2311.17816, 2023
1 2023 
Andreas IppTU WienBestätigte E-Mail-Adresse bei hep.itp.tuwien.ac.at
