QUANTIFYING NONEQUILIBRIUM DYNAMICS OF STOCHASTIC SYSTEMS WITH PARTIAL INFORMATION
Abstract
Far-from-equilibrium processes constantly dissipate energy while converting a free-energy source to another form of energy. Living systems, for example, rely on an orchestra of molecular motors that consume chemical fuel to produce mechanical work. Drawing inspiration from biology, where the underlying nonequilibrium activity give rise to a plethora of emergent collective phenomena such as adaptation, pattern-formation, prediction, selfreplication, decision-making, computation, etc., we strive to capture their mechanistic essence in order to mimic life-like behaviour in synthetic systems. Estimating the amount of the free energy budget lost to dissipation is crucial for a deeper understanding of the underlying nonequilibrium dynamics of driven systems, aiming for general design principles for biomimicking custom-made systems. Although there are theoretical tools for detecting and quantifying nonequilibrium activity and dissipation in the framework of stochastic thermodynamics, theses mostly rely on a detailed description of the microscopic dynamics. Hence, there is a growing gap between these analytical calculations and their experimental applicability. The difficulty stems from the limited accessibility to the myriad degrees of freedom of complex systems and the finite measurement resolution, which can mask the footprints of nonequilibrium dynamics such that they appear as passive thermal fluctuations. My goal is to develop a new toolkit for studying nonequilibrium systems with complex network structures and many degrees of freedom.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Aug 12, 2021
- Source ID
- FA95502010426
Entities
People
- Gili Bisker
Organizations
- Air Force Office of Scientific Research
- Tel Aviv University
- United States Air Force