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DTSTART;TZID=America/New_York:20251121T140000
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CREATED:20250829T160757Z
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UID:20952-1763733600-1763737200@seasevents.nmsdev7.com
SUMMARY:PICS Colloquium: Macroscopic stochastic thermodynamics with Massimiliano Esposito [VIRTUAL]
DESCRIPTION:This speaker event is virtual\, but will be screened in PICS 534 with refreshments. \nEquilibrium thermodynamics emerges from equilibrium statistical mechanics as the most likely behavior of a system in the macroscopic limit. Over the last two decades\, significant progress has been made in formulating statistical mechanics for small systems operating far-from-equilibrium. The resulting theory is often called stochastic thermodynamics. I will show that by taking the macroscopic limit of stochastic thermodynamics\, one can formulate a nonequilibrium thermodynamics for large systems\, typically described by nonlinear deterministic dynamics and macroscopic fluctuations around it [1]. This macroscopic stochastic thermodynamics gives rise to novel fundamental results. For instance\, once can bound nonequilibrium steady state fluctuations using the entropy production along deterministic relaxation trajectories [2]. Many classical phenomenological results from macroscopic irreversible thermodynamics are also recovered within well controlled approximations. This theory opens the way to study the energetics of many complex nonlinear phenomena in a broad range of systems\, such as chemical reaction networks (CRNs)\, nonlinear electrical circuits\, and Potts models. \nReferences: \n[1] G. Falasco and M. Esposito\, ”Macroscopic stochastic thermodynamics”\, Rev. Mod. Phys. 97\, 015002 (2025). \n[2] N. Freitas and M. Esposito\, ”Emergent second law for non-equilibrium steady states”\, Nature Communications 13\, 5084 (2022).
URL:https://seasevents.nmsdev7.com/event/pics-colloquium-macroscopic-stochastic-thermodynamics-with-massimiliano-esposito-virtual/
LOCATION:PICS Conference Room 534 – A Wing \, 5th Floor\, 3401 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Colloquium
ORGANIZER;CN="Penn Institute for Computational Science (PICS)":MAILTO:dkparks@seas.upenn.edu
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