Publications



See also my Google Scholar profile.
  1. Numerical investigation of the equilibrium Kauzmann transition in a two-dimensional atomistic glass
    G. Jung, M. Ozawa, G. Biroli, L. Berthier, Proc. Natl. Acad. Sci. U.S.A. 123, e2612355123 (2026)
    2. https://www.pnas.org/doi/10.1073/pnas.2612355123
    Press Report, University of Innsbruck

  2. Limits of the Non-Linear Generalized Langevin Equation: Cross-Correlations, Irreversibility and Desynchronization
    B. Jung, G. Jung, J. Chem. Phys. 165, 044907 (2026)
    3. https://doi.org/10.1063/5.0345751

  3. Kinetic theory of decentralized learning for smart active matter
    G. Jung, M. Ozawa, E. Bertin, Phys. Rev. Lett. 134, 248302 (2025), Editors' Suggestion, PRL Collection 2025
    4. https://link.aps.org/doi/10.1103/5m44-kwhv

  4. Inhomogeneous diffusion in confined colloidal suspensions
    G. Jung, A. Villada-Balbuena, T. Franosch, Soft Matter 21, 4010 (2025)
    5. https://pubs.rsc.org/en/content/articlehtml/2025/sm/d5sm00120j

  5. Roadmap on machine learning glassy dynamics
    G. Jung, R. M. Alkemade, V. Bapst, D. Coslovich, L. Filion, F. P. Landes, A. Liu, F. S. Pezzicoli, H. Shiba, G. Volpe, F. Zamponi, L. Berthier, G. Biroli, Nature Review Physics (2025)
    6. https://rdcu.be/d5qPx

  6. Normalizing flows as an enhanced sampling method for atomistic supercooled liquids
    G. Jung, G. Biroli, L. Berthier, Mach. Learn.: Sci. Technol. 5 035053 (2024)
    7. https://iopscience.iop.org/article/10.1088/2632-2153/ad6ca0

  7. How boundary interactions dominate emergent driving of inertial passive probes in active matter
    J. Shea, G. Jung, F. Schmid, J. Phys. A: Math. Theor. 57, 235006 (2024), Open Access
    8. https://iopscience.iop.org/article/10.1088/1751-8121/ad4ad7

  8. Dynamic heterogeneity at the experimental glass transition predicted by transferable machine learning
    G. Jung, G. Biroli, L. Berthier, Phys. Rev. B 109, 064205 (2024), Editors' Suggestion
    9. https://journals.aps.org/prb/abstract/10.1103/PhysRevB.109.064205

  9. Force renormalization for probes immersed in an active bath
    J. Shea, G. Jung, F. Schmid, Soft Matter 20, 1767 (2024)
    10. https://pubs.rsc.org/en/content/articlehtml/2024/sm/d3sm01387a

  10. Mobility, response and transport in non-equilibrium coarse-grained models (Special Issue: Non-Markovian Effects in Nonequilibrium Systems)
    G. Jung, J. Phys. A: Math. Theor. 57, 095004 (2024)
    11. https://iopscience.iop.org/article/10.1088/1751-8121/ad239a

  11. Noise-cancellation algorithm for simulations of Brownian particles
    R. Rusch, T. Franosch, G. Jung, Phys. Rev. E 109, 015303 (2024)
    12. https://journals.aps.org/pre/abstract/10.1103/PhysRevE.109.015303

  12. Dynamic coarse-graining of linear and non-linear systems: Mori–Zwanzig formalism and beyond
    B. Jung, G. Jung, J. Chem. Phys. 159, 084110 (2023) https://pubs.aip.org/aip/jcp/article-abstract/159/8/084110/2907975/Dynamic-coarse-graining-of-linear-and-non-linear?redirectedFrom=fulltext

  13. 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, 7109 (2023) https://pubs.rsc.org/en/Content/ArticleLanding/2023/SM/D3SM00600J

  14. Predicting dynamic heterogeneity in glass-forming liquids by physics-inspired machine learning
    G. Jung, G. Biroli, L. Berthier, Phys. Rev. Lett. 130, 238202 (2023) https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.130.238202

  15. Computer simulations and mode-coupling theory of glass-forming confined hard-sphere fluids
    G. Jung, T. Franosch, Phys. Rev. E 107, 054101 (2023) https://journals.aps.org/pre/abstract/10.1103/PhysRevE.107.054101

  16. Stability of branched tubular membrane structures
    M. Jung, G. Jung, F. Schmid, Phys. Rev. Lett. 130, 148401 (2023)
    Featured in the American Physical Society's outreach to the press https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.130.148401

  17. Passive probe particle in an active bath: can we tell it is out of equilibrium?
     J. Shea, G. Jung, F. Schmid, Soft Matter 18, 6965 (2022). http://dx.doi.org/10.1039/D2SM00905F

  18. Structural properties of liquids in extreme confinement
     G. Jung, T. Franosch, Phys. Rev. E 106, 014614 (2022). https://doi.org/10.1103/PhysRevE.106.014614

  19. Layering and Packing in Confined Colloidal Suspensions (Open Access)
     A. Villada-Balbuena, G. Jung, A. B. Zuccolotto-Bernez, T. Franosch, S. Egelhaaf, Soft Matter 18, 4699 (2022). https://doi.org/10.1039/D2SM00412G

  20. Non-Markovian systems out of equilibrium: Exact results for two routes of coarse graining (Special Issue: Emerging Leaders 2021)
    G. Jung, J. Phys.: Condens. Matter 34, 204004 (2022). https://doi.org/10.1088/1361-648X/ac56a7

  21. Fluctuation-dissipation relations far from equilibrium: A case study (Open Access)
    G. Jung, F. Schmid, Soft Matter 17, 6413 (2021). 10.1039/D1SM00521A

  22. Introducing memory in coarse-grained molecular simulations (Review Article,Open Access)
    V. Klippenstein, M. Tripathy, G. Jung, F. Schmid, N. van der Vegt, JCPB 125, 4931 (2021). doi:10.1021/acs.jpcb.1c01120

  23. Tagged-particle motion in quasi-confined colloidal hard-sphere liquids
    L. Schrack, C. F. Petersen, G. Jung, M. Caraglio, T. Franosch, J. Stat. Mech 043301 (2021). doi:10.1088/1742-5468/abee23

  24. Model reduction techniques for the computation of extended Markov parameterizations for generalized Langevin equations (Open Access)
    N. Bockius, J. Shea, G. Jung, F. Schmid, M. Hanke, JCMP 33, 214003 (2021). doi:10.1088/1361-648X/abe6df

  25. Wall slip and bulk yielding in soft particle suspensions
    G. Jung, S. Fielding, Journal of Rheology 65, 199 (2021). doi:10.1122/8.0000171

  26. An improved integration scheme for mode-coupling-theory equations
    M. Caraglio, L. Schrack, G. Jung, T. Franosch, Commun. Comput. Phys. 29, 628 (2021). doi:10.4208/cicp.OA-2020-0125

  27. Tagged-particle dynamics in confined colloidal liquids
    G. Jung, L. Schrack, T. Franosch, Phys. Rev. E 102, 032611 (2020). doi:10.1103/PhysRevE.102.032611

  28. Confinement-induced demixing and crystallization
    G. Jung, C. F. Petersen, Phys. Rev. Res. 2, 033207 (2020). doi:10.1103/PhysRevResearch.2.033207

  29. Dynamical properties of densely packed confined hard-sphere fluids
    G. Jung, M. Caraglio, L. Schrack, T. Franosch, Phys. Rev. E 102, 012612 (2020). doi:10.1103/PhysRevE.102.012612

  30. Dynamic properties of quasi-confined colloidal hard-sphere liquids near the glass transition
    L. Schrack, C. F. Petersen, G. Jung, M. Caraglio, T. Franosch, J. Stat. Mech 093301 (2020). doi:10.1088/1742-5468/ababfe

  31. Scaling equations for mode-coupling theories with multiple decay channels
    G. Jung, T. Voigtmann, T. Franosch, J. Stat. Mech. 073301 (2020). doi:10.1088/1742-5468/ab9e61

  32. Frequency-dependent dielectric polarizability of flexible polyelectrolytes in electrolyte solution: A Dissipative Particle Dynamics simulation (Open Access)
    G. Jung, S. Kasper, F. Schmid, Journal of the Electrochemical Society 166, B3194 (2019). doi:10.1149/2.0231909jes

  33. Generalized Langevin dynamics: Construction and numerical integration of non-Markovian particle-based models
    G. Jung, M. Hanke, F. Schmid, Soft Matter 14, 9368 (2018). doi:10.1039/C8SM01817K

  34. Frequency-dependent hydrodynamic interactions between two solid spheres
    G. Jung, F. Schmid, Physics of Fluids 29, 126101 (2017). doi:10.1063/1.5001565

  35. Iterative reconstruction of memory kernels
    G. Jung, M. Hanke, F. Schmid, J. Chemical Theory and Computation 13, 2481 (2017). doi:10.1021/acs.jctc.7b00274

  36. Computing bulk and shear viscosities from simulations of fluids with dissipative and stochastic interactions
    G. Jung, F. Schmid, J. Chem. Phys. 144, 204104 (2016). doi:10.1063/1.4950760