Mathematical bioPhysics
We develop and apply the methods of mathematical physics and the theory of stochastic processes to study phenomena in biophysics. Our main research focus is currently the non-equilibrium statistical mechanics of single molecules. In particular, we aim at a trajectory-based description of macromolecular conformation dynamics as well as of their spatial transport, binding, and reactions. In our work we employ a combination of rigorous analysis corroborated by computer simulations.
Press releases & research news
10 most recent papers
Milestoning estimators of dissipation in systems observed at a coarse resolution
PNAS, 121 (17) e2318333121
Emergence of Memory in Equilibrium versus Nonequilibrium Systems
Physical Review Lettetrs 132, 147101
20, pp. 135 - 141 (2024)
Heating and cooling are fundamentally asymmetric and evolve along distinct pathways. Nature Physics
131 (23), 237101 (2023)
Controlling Uncertainty of Empirical First-Passage Times in the Small-Sample Regime. Physical Review Letters
5 (4), L042030 (2023)
Asymmetric thermal relaxation in driven systems: Rotations go opposite ways. Physical Review Research
56 (15), 155002 (2023)
Feynman-Kac theory of time-integrated functionals: Itô versus functional calculus. Journal of Physics A
130 (8), 087101 (2023)
Direct Route to Thermodynamic Uncertainty Relations and Their Saturation. Physical Review Letters
5 (1), 013135 (2023)
Thermodynamically consistent phase-field theory including nearest-neighbor pair correlations. Physical Review Research
Controlling uncertainty of empirical first-passage times in the small-sample regime
submitted on Jan 20, 2023: arXiv:2301.08732 [cond-mat.stat-mech]
14 (1), pp. 49 - 56 (2023)
Challenges in Inferring the Directionality of Active Molecular Processes from Single-Molecule Fluorescence Resonance Energy Transfer Trajectories. The Journal of Physical Chemistry Letters