Bethe-Peierls Approximation for Linear Monodisperse Polymers Re-examined
F. F. Semeriyanov, G. Heinrich
TL;DR
This paper reviews the Bethe-Peierls approximation for polymer melts, compares theoretical and Monte Carlo configurational entropy data, and discusses implications for polymer thermodynamics and the Kauzmann paradox.
Contribution
It re-examines the Bethe-Peierls approximation's application to linear monodisperse polymers and compares theoretical predictions with Monte Carlo simulations.
Findings
Good agreement between Bethe-Peierls and Monte Carlo configurational entropy data
Estimation of configurational contribution to liquid's heat capacity
Discussion of polymer semiflexibility's relation to the Kauzmann paradox
Abstract
Bethe-Peierls approximation, as it applies to the thermodynamics of polymer melts, is reviewed. We compare the computed configurational entropy of monodisperse linear polymer melt with Monte Carlo data available in literature. An estimation of the configurational contribution to the total liquid's Cp is presented. We also discuss the relation between Kauzmann paradox and polymer semiflexibility.
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