A statistical mechanics framework for constructing non-equilibrium thermodynamic models
Travis Leadbetter, Prashant K. Purohit, Celia Reina

TL;DR
This paper introduces a novel statistical mechanics framework for constructing non-equilibrium thermodynamic models directly from microscopic physics, enabling analytical descriptions of complex systems without phenomenological fitting.
Contribution
It provides a new method to derive macroscopic thermodynamics models from microscopic Langevin dynamics without relying on phenomenological parameters.
Findings
Derived analytical equations for coiled-coil proteins and DNA.
First non-phenomenological derivation for phase propagating systems.
Applicable to diverse systems like colloids and biopolymers.
Abstract
Far-from-equilibrium phenomena are critical to all natural and engineered systems, and essential to biological processes responsible for life. For over a century and a half, since Carnot, Clausius, Maxwell, Boltzmann, and Gibbs, among many others, laid the foundation for our understanding of equilibrium processes, scientists and engineers have dreamed of an analogous treatment of non-equilibrium systems. But despite tremendous efforts, a universal theory of non-equilibrium behavior akin to equilibrium statistical mechanics and thermodynamics has evaded description. Several methodologies have proved their ability to accurately describe complex non-equilibrium systems at the macroscopic scale, but their accuracy and predictive capacity is predicated on either phenomenological kinetic equations fit to microscopic data, or on running concurrent simulations at the particle level. Instead, we…
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Taxonomy
TopicsAdvanced Thermodynamics and Statistical Mechanics · Protein Structure and Dynamics · Spectroscopy and Quantum Chemical Studies
