Phase Equilibria of Lattice Polymers from Histogram Reweighting Monte Carlo Simulations
Athanassios Z. Panagiotopoulos, Vicky Wong, M. Antonio Floriano

TL;DR
This study uses histogram-reweighting Monte Carlo simulations to analyze phase diagrams of lattice polymers, confirming theoretical predictions and providing new insights into critical parameters and scaling behaviors for long-chain polymers.
Contribution
It extends previous simulations to longer chains and higher coordination lattices, validating the Flory-Huggins model and exploring the universality of Theta-temperature definitions.
Findings
Critical temperature scales with chain length following Flory-Huggins form.
Infinite chain critical temperature for z=6 lattice is 3.70+-0.01.
Critical volume fraction scales with chain length with an exponent of 0.38+-0.01.
Abstract
Histogram-reweighting Monte Carlo simulations were used to obtain polymer / solvent phase diagrams for lattice homopolymers of chain lengths up to r=1000 monomers. The simulation technique was based on performing a series of grand canonical Monte Carlo calculations for a small number of state points and combining the results to obtain the phase behavior of a system over a range of temperatures and densities. Critical parameters were determined from mixed-field finite-size scaling concepts by matching the order parameter distribution near the critical point to the distribution for the three-dimensional Ising universality class. Calculations for the simple cubic lattice (coordination number z=6) and for a high coordination number version of the same lattice (z=26) were performed for chain lengths significantly longer than in previous simulation studies. The critical temperature was found…
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