This workshop explores advanced topics in stochastic thermodynamics, focusing on recent theoretical developments and their applications across various scientific domains. It covers fundamental principles, computational aspects, biophysics, and quantum extensions of the field.
Zhiyue Lu presents on the geometric design principles governing oscillation-driven catalytic molecular machines, exploring their implications within stochastic thermodynamics.
Faezeh Khodabandehlou discusses the application of the Third Law of Thermodynamics to nonequilibrium jump processes, a key area in advanced statistical physics.
An exploration of universal thermodynamic principles governing symmetry breaking in biological systems, from cellular error correction mechanisms to emergent pattern formation.
Investigating the conceptual and methodological parallels between statistical thermodynamics and modern data science, proposing a new paradigm for data analysis.
