
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
Scattering fingerprints of two-state dynamics
New Journal of Physics 24 023004 (2022)
First-passage statistics of colloids on fractals: Theory and experimental realization
Science Advances 8, eabk0627 (2022)
Emergent Memory and Kinetic Hysteresis in Strongly Driven Networks
Physical Review X 11, 041047 (2021)
Violation of Local Detailed Balance Despite a Clear Time-Scale Separation
arXiv:2111.14734 (2021)
Criticality in Cell Adhesion
Physical Review X 11, 031067 (2021)
Kinetatics and Statistics of Empirical Currents in Continuous Space at All Times
arxiv.org/abs/2105.10483 (2021)
127 (8), 080601 (2021)
Thermodynamic uncertainty relation bounds the extent of anomalous diffusion. Physical Review Letters
54 (35), 355601 (2021)
Time- and ensemble-average statistical mechanics of the Gaussian network model. Journal of Physics A
269, 108131 (2021)
BetheSF V2: 3-point propagator and additional external potentials. Computer Physics Communications
258, 107569 (2021)
BetheSF: Efficient computation of the exact tagged-particle propagator in single-file systems via the Bethe eigenspectrum. Computer Physics Communications