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
Direct route to thermodynamic uncertainty relations and their saturations
Physical Review Letters 130, 087101 (2023)
Thermodynamically consistent phase-field theory including nearest-neighbor pair correlations
Physical Review Research 5, 013135 (2023)
Controlling uncertainty of empirical first-passage times in the small-sample regime
submitted on Jan 20, 2023: arXiv:2301.08732 [cond-mat.stat-mech]
Challenges in Inferring the Directionality of Active Molecular Processes from Single-Molecule Fluorescence Resonance Energy Transfer Trajectories. The Journal of Physical Chemistry Letters 14 (1), pp. 49 - 56 (2023)
Global speed limit for finite-time dynamical phase transition in nonequilibrium relaxation
submitted on Sept 28, 2022: arXiv:2209.14287 [cond-mat.stat-mech]
On correlations and fluctuations of time-averaged densities and currents with general time-dependence. Journal of Physics A 55 (47), 475001 (2022)
Coarse graining empirical densities and currents in continuous-space steady states. Physical Review Research 4, 033243 (2022)
Mathematical, thermodynamical, and experimental necessity for coarse graining empirical densities and currents in continuous space. Physical Review Letters 129 (14), 140601 (2022)
Feynman-Kac theory of time-integrated functionals: Itô versus functional calculus. (2022)
Scattering fingerprints of two-state dynamics. New Journal of Physics 24, 023004 (2022)