| Iterative reconstruction of memory kernels G Jung, M Hanke, F Schmid Journal of chemical theory and computation 13 (6), 2481-2488, 2017 | 151 | 2017 |
| Introducing memory in coarse-grained molecular simulations V Klippenstein, M Tripathy, G Jung, F Schmid, NFA van der Vegt The Journal of Physical Chemistry B 125 (19), 4931-4954, 2021 | 95 | 2021 |
| Generalized Langevin dynamics: construction and numerical integration of non-Markovian particle-based models G Jung, M Hanke, F Schmid Soft matter 14 (46), 9368-9382, 2018 | 64 | 2018 |
| Predicting dynamic heterogeneity in glass-forming liquids by physics-inspired machine learning G Jung, G Biroli, L Berthier Physical Review Letters 130 (23), 238202, 2023 | 50 | 2023 |
| Computing bulk and shear viscosities from simulations of fluids with dissipative and stochastic interactions G Jung, F Schmid The Journal of Chemical Physics 144 (20), 2016 | 36 | 2016 |
| Model reduction techniques for the computation of extended Markov parameterizations for generalized Langevin equations N Bockius, J Shea, G Jung, F Schmid, M Hanke Journal of Physics: Condensed Matter 33 (21), 214003, 2021 | 34 | 2021 |
| Fluctuation–dissipation relations far from equilibrium: a case study G Jung, F Schmid Soft matter 17 (26), 6413-6425, 2021 | 23 | 2021 |
| Passive probe particle in an active bath: can we tell it is out of equilibrium? J Shea, G Jung, F Schmid Soft Matter 18 (36), 6965-6973, 2022 | 16 | 2022 |
| Frequency-dependent hydrodynamic interaction between two solid spheres G Jung, F Schmid Physics of Fluids 29 (12), 2017 | 16 | 2017 |
| Roadmap on machine learning glassy dynamics G Jung, RM Alkemade, V Bapst, D Coslovich, L Filion, FP Landes, AJ Liu, ... Nature Reviews Physics, 1-14, 2025 | 13* | 2025 |
| Confinement-induced demixing and crystallization G Jung, CF Petersen Physical Review Research 2 (3), 033207, 2020 | 13 | 2020 |
| Dynamic heterogeneity at the experimental glass transition predicted by transferable machine learning G Jung, G Biroli, L Berthier Physical Review B 109 (6), 064205, 2024 | 12 | 2024 |
| Layering and packing in confined colloidal suspensions A Villada-Balbuena, G Jung, AB Zuccolotto-Bernez, T Franosch, ... Soft Matter 18 (25), 4699-4714, 2022 | 11 | 2022 |
| Non-Markovian systems out of equilibrium: Exact results for two routes of coarse graining G Jung Journal of Physics: Condensed Matter 34 (20), 204004, 2022 | 10 | 2022 |
| Force renormalization for probes immersed in an active bath J Shea, G Jung, F Schmid Soft Matter 20 (8), 1767-1785, 2024 | 9 | 2024 |
| Dynamic coarse-graining of linear and non-linear systems: Mori–Zwanzig formalism and beyond B Jung, G Jung The Journal of Chemical Physics 159 (8), 2023 | 9 | 2023 |
| Direct numerical simulations of a microswimmer in a viscoelastic fluid T Kobayashi, G Jung, Y Matsuoka, Y Nakayama, JJ Molina, R Yamamoto Soft Matter 19 (37), 7109-7121, 2023 | 7 | 2023 |
| Dynamical properties of densely packed confined hard-sphere fluids G Jung, M Caraglio, L Schrack, T Franosch Physical Review E 102 (1), 012612, 2020 | 7 | 2020 |
| Normalizing flows as an enhanced sampling method for atomistic supercooled liquids G Jung, G Biroli, L Berthier Machine Learning: Science and Technology 5 (3), 035053, 2024 | 6 | 2024 |
| Wall slip and bulk yielding in soft particle suspensions G Jung, SM Fielding Journal of Rheology 65 (2), 199-212, 2021 | 6 | 2021 |
Friederike SchmidJohannes Gutenberg University MainzBestätigte E-Mail-Adresse bei uni-mainz.de
