Effective structure of a system with continuous polydispersity
Palak Patel, Manoj Kumar Nandi, Ujjwal Kumar Nandi, Sarika Maitra, Bhattacharyya

TL;DR
This paper proposes a method to represent polydisperse systems with fewer pseudo species to avoid artificial softening of structure, revealing how polydispersity and interaction potential influence the effective number of species needed.
Contribution
It introduces a criterion based on potential energy and pair excess entropy to determine the optimal number of pseudo species, M₀, for accurately modeling polydisperse systems.
Findings
M₀ depends on polydispersity degree and interaction potential
Systems with softer potentials tolerate higher polydispersity
1% polydispersity cannot be approximated as monodisperse
Abstract
In a system of N particles, with continuous size polydispersity there exists N(N-1) number of partial structure factors making it analytically less tractable. A common practice is to treat the system as an effective one component system which is known to exhibit an artificial softening of the structure. The aim of this study is to describe the system in terms of M pseudo species such that we can avoid this artificial softening but at the same time have a value of M << N. We use potential energy and pair excess entropy to estimate an optimum number of species, M_{0}. We find that systems with polydispersity width, {\Delta}{\sigma}_{0} can be treated as a monodisperse system. We show that M_{0} depends on the degree and type of polydispersity and also on the nature of the interaction potential, whereas, {\Delta}{\sigma}_{0} weakly depends on the type of the polydispersity, but shows a…
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