collaborators

6 papers

cond-mat.stat-mech2026

Quo vadis, stochastic thermodynamics?

Jan Korbel, Artemy Kolchinsky, Sarah A. M. Loos +4

Stochastic thermodynamics is a framework for describing non-equilibrium processes at the level of fluctuating trajectories, where the state of a system evolves as a stochastic time…

cond-mat.stat-mech2026

Finite-time transitions in optimal control and non-equilibrium relaxation

Jan Meibohm, Samuel Monter, Sarah A. M. Loos +1

We theoretically and experimentally study finite-time optimal control of a colloidal particle steered through a spatially inhomogeneous environment, modeled by a position-dependent…

cond-mat.soft2026

Energy-Efficient Control of Interacting Microscopic Systems: When Longer Paths Save Energy

Samuel Monter, Lars T. Stutzer, Sarah A. M. Loos +1

We experimentally and theoretically study the thermodynamically optimal control of interacting multiple-particle systems, focusing on collections of colloidal particles individuall…

cond-mat.soft2026

Extracting work from hidden degrees of freedom

Lokesh Muruga, Felix Ginot, Sarah A. M. Loos +1

Thermodynamics establishes that information acquired through measurement can be converted into work, as exemplified by Maxwell's demon and Szilard engines. Most experimental realiz…

cond-mat.stat-mech2025

Active particles in moving traps: minimum work protocols and information efficiency of work extraction

Janik Schüttler, Rosalba Garcia-Millan, Michael E. Cates +1

We revisit the elementary problem of moving a particle in a harmonic trap in finite time with minimal work cost, and extend it to the case of an active particle. By comparing the G…

cond-mat.stat-mech2025

Optimal closed-loop control of active particles and a minimal information engine

Rosalba Garcia-Millan, Janik Schüttler, Michael E. Cates +1

We study the elementary problem of moving an active particle by a trap with minimum work input. We show analytically that (open-loop) optimal protocols are not affected by activity…