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Autor principal: Phillies, George D. J.
Formato: Preprint
Publicado: 2024
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Acceso en línea:https://arxiv.org/abs/2408.08480
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author Phillies, George D. J.
author_facet Phillies, George D. J.
contents We propose a path for making quantitative analyses of mean-square displacement curves of polymer chains in the melt or in solution. The approach invokes a general functional form that accurately describes $g(t) \equiv \langle (Δx(t))^{2} \rangle$ for all times at which $g(t)$ was measured, and that gives values for the logarithmic derivative of $g(t)$ for the same times. By these means we can readily distinguish between regimes in which $g(t)$ follows a power law in time, does not follow a power law in time, or has an inflection point. In a power-law regime, the method accurately determines the exponent, without imposing any assumption as to the exponent's value.
format Preprint
id arxiv_https___arxiv_org_abs_2408_08480
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Quantitative Interpretation of Simulated Polymer Mean-Square Displacements
Phillies, George D. J.
Soft Condensed Matter
Statistical Mechanics
We propose a path for making quantitative analyses of mean-square displacement curves of polymer chains in the melt or in solution. The approach invokes a general functional form that accurately describes $g(t) \equiv \langle (Δx(t))^{2} \rangle$ for all times at which $g(t)$ was measured, and that gives values for the logarithmic derivative of $g(t)$ for the same times. By these means we can readily distinguish between regimes in which $g(t)$ follows a power law in time, does not follow a power law in time, or has an inflection point. In a power-law regime, the method accurately determines the exponent, without imposing any assumption as to the exponent's value.
title Quantitative Interpretation of Simulated Polymer Mean-Square Displacements
topic Soft Condensed Matter
Statistical Mechanics
url https://arxiv.org/abs/2408.08480