Stochastic thermodynamics provides a generic framework for controlling dynamics where fluctuations cannot be neglected. These methods have been deployed to address various optimization problems in passive systems obeying equilibrium constraints as well as in active systems featuring stationary currents. As a field, stochastic thermodynamics has primarily focused on systems with a few degrees of freedom, but recent advances are pushing the framework into more complex settings. This collection, guest edited by Étienne Fodor of the University of Luxembourg and Todd Gingrich of Northwestern University, seeks to highlight novel studies on controlling the dynamics of complex stochastic systems with a rich phenomenology.
The Collection was guest-edited by Étienne Fodor and Todd Gingrich. Every article published in this collection underwent a rigorous peer review process, adhering to the same high standards applied to all papers. The Physical Review E editorial team managed the peer review and made all editorial decisions.








