Thermodynamics for reduced models of polymer aggregation based on maximum entropy principle

Polymeric aggregates play a significant role in biology and chemical engineering. In order to make a clear description of their underlying formation procedure, simplified models are crucial because the original mass-action equations involve numerous variables, complicating analysis and understanding. While the dynamical aspects of simplified models have been widely studied, their thermodynamic properties are less understood. In this study, we explore the Maximum Entropy Principle (MEP)-reduced models, initially developed for dynamical analysis, from a brand-new thermodynamic perspective. Analytical expressions, along with numerical simulations, demonstrate that the discrete MEP-reduced model strictly retains laws of thermodynamics, which holds true even when the aggregate size transits from discrete values to continuous real numbers. Our findings not only clarify the thermodynamic consistency between the MEP-reduced models and the original models of polymeric aggregates for the first time but also suggest avenues for future research into the model-reduction thermodynamics.

Authors

Institutions

Publication Details

Journal
The Journal of Chemical Physics
Published
2025-04-22
DOI
https://doi.org/10.1063/5.0252088
Primary Topic
Advanced Thermodynamics and Statistical Mechanics
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Thermodynamics for reduced models of polymer aggregation based on maximum entropy principle

Wuyue Yang, Hongying Jia, Liangrong Peng, Xinyu Zhang et al.
The Journal of Chemical Physics
Advanced Thermodynamics and Statistical Mechanics
article

Thermodynamics for reduced models of polymer aggregation based on maximum entropy principle

Wuyue Yang, Hongying Jia, Liangrong Peng, Xinyu Zhang, Liu Hong
article en

Abstract

Polymeric aggregates play a significant role in biology and chemical engineering. In order to make a clear description of their underlying formation procedure, simplified models are crucial because the original mass-action equations involve numerous variables, complicating analysis and understanding. While the dynamical aspects of simplified models have been widely studied, their thermodynamic properties are less understood. In this study, we explore the Maximum Entropy Principle (MEP)-reduced models, initially developed for dynamical analysis, from a brand-new thermodynamic perspective. Analytical expressions, along with numerical simulations, demonstrate that the discrete MEP-reduced model strictly retains laws of thermodynamics, which holds true even when the aggregate size transits from discrete values to continuous real numbers. Our findings not only clarify the thermodynamic consistency between the MEP-reduced models and the original models of polymeric aggregates for the first time but also suggest avenues for future research into the model-reduction thermodynamics.

The Journal of Chemical PhysicsVol. 162(16)
Sun Yat-sen University (CN), Minjiang University (CN), Institute of Mathematical Sciences (ES), Beijing Institute of Mathematical Sciences and Applications, Fuzhou University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Fujian Province, National Key Research and Development Program of China, Basic and Applied Basic Research Foundation of Guangdong Province
Openalex Percentile: Top 93%
Advanced Thermodynamics and Statistical Mechanics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Thermodynamics for reduced models of polymer aggregation based on maximum entropy principle — Wuyue Yang, Hongying Jia, et al. · The Journal of Chemical Physics (2025) | TGRS Research Map | TGRS