6 papers
Optimal parameterization of nonequilibrium generalized master equations from discrete-time experimental data
Chih-Wei Joshua Liu, Jérémie Klinger, Grant M. Rotskoff
Kinetic analyses of experiments often require coarse-grained descriptions, but complex systems rarely conform to the widely used modeling assumptions of Markovianity and thermodyna…
Minimally dissipative multi-bit logical operations
Jérémie Klinger, Grant M. Rotskoff
Modern computing architectures are vastly more energy-dissipative than fundamental thermodynamic limits suggest, motivating the search for principled approaches to low-dissipation…
Large volume statistics of first-passage observables of -dimensional Jump Processes
Jérémie Klinger, Olivier Bénichou, Raphaël Voituriez
First-passage observables (FPO) are central to understanding stochastic processes in confined domains, with applications spanning chemical reaction kinetics, foraging behavior, and…
Computing Nonequilibrium Responses with Score-shifted Stochastic Differential Equations
Jérémie Klinger, Grant M. Rotskoff
Using equilibrium fluctuations to understand the response of a physical system to an externally imposed perturbation is the basis for linear response theory, which is widely used t…
Universal energy-speed-accuracy trade-offs in driven nonequilibrium systems
Jérémie Klinger, Grant M. Rotskoff
Physical systems driven away from equilibrium by an external controller dissipate heat to the environment; the excess entropy production in the thermal reservoir can be interpreted…
Extreme Value Statistics of Jump Processes
Jérémie Klinger, Raphaël Voituriez, Olivier Bénichou
We investigate extreme value statistics (EVS) of general discrete time and continuous space symmetric jump processes. We first show that for unbounded jump processes, the semi-infi…