Local nonequilibrium thermodynamics of polymer collapse dynamics

Y Yunjae Park (Graduate School of Carbon Neutrality, Ulsan National Institute of Science and Technology 1 , Ulsan 44919,) L Lee Jinwoo (Department of Mathematics, Kwangwoon University 2 , Seoul 01897,) K Kyungwoo Song (Department of Artificial Intelligence, University of Seoul 3 , Seoul 02504,) J Janghee Hong (Department of Applied Chemistry, University of Seoul 5 , Seoul 02504,) R Rakwoo Chang (Department of Applied Chemistry, University of Seoul 5 , Seoul 02504,)

Abstract

Nonequilibrium thermodynamics plays a crucial role in understanding a wide range of physical and chemical processes. While significant advances have been made through frameworks, such as the fluctuation theorem, it remains challenging to define thermodynamic quantities, such as energy, entropy, and free energy, at the local level during nonequilibrium processes. Recently, Jinwoo and Tanaka [Sci. Rep. 5, 7832 (2015)] have proposed a formalism (the JT formalism) that defines local thermodynamic properties via a path ensemble of microstates over time. In this work, we apply the JT formalism to the polymer collapse process as a model nonequilibrium system to observe the collapse dynamics in terms of the end-to-end distance as the mesoscopic variable. Through extensive Langevin dynamics simulations, we quantify conformational free energy, lost information, and nonequilibrium free energy as functions of time and conformation. Our results validate the JT’s work fluctuation theorem, which relates work and local nonequilibrium free energy. This study highlights the utility of the JT formalism in analyzing dynamic thermodynamic behavior in complex soft matter systems.

Article Details

Volume / Issue Vol. 163, Issue 9
Published September 07, 2025
ISSN 0021-9606
Publisher American Institute of Physics

Journal Info

The Journal of Chemical Physics

American Institute of Physics

ISSN: 0021-9606 Physical Sciences

Authors (5)

Y

Yunjae Park

Graduate School of Carbon Neutrality, Ulsan National Institute of Science and Technology 1 , Ulsan 44919,

L

Lee Jinwoo

Department of Mathematics, Kwangwoon University 2 , Seoul 01897,

K

Kyungwoo Song

Department of Artificial Intelligence, University of Seoul 3 , Seoul 02504,

J

Janghee Hong

Department of Applied Chemistry, University of Seoul 5 , Seoul 02504,

R

Rakwoo Chang

Department of Applied Chemistry, University of Seoul 5 , Seoul 02504,