Generalized Deam-Edwards Approach to the Statistical Mechanics of Randomly Crosslinked Systems
Xiangjun Xing (1), Bing-Sui Lu (1), Fangfu Ye (2), and Paul M., Goldbart (2) ((1) Department of Physics, Institute of Natural Sciences,, Shanghai Jiao Tong University, China (2) School of Physics, Georgia Institute, of Technology, Atlanta, GA)

TL;DR
This paper develops a generalized theoretical framework for understanding the statistical mechanics of randomly crosslinked networks, linking their formation history to their physical properties using an advanced replica approach.
Contribution
It extends the Deam-Edwards approach by introducing a formalism that accounts for the history of network formation and connects it to measurable properties.
Findings
Introduces a replica-based vulcanization theory with preparation and measurement ensembles.
Classifies correlation functions and highlights the role of memory correlations.
Connects the theory to classical rubber elasticity and nematic elastomers.
Abstract
We address the statistical mechanics of randomly and permanently crosslinked networks. We develop a theoretical framework (vulcanization theory) which can be used to systematically analyze the correlation between the statistical properties of random networks and their histories of formation. Generalizing the original idea of Deam and Edwards, we consider an instantaneous crosslinking process, where all crosslinkers (modeled as Gaussian springs) are introduced randomly at once in an equilibrium liquid state, referred to as the preparation state. The probability that two functional sites are crosslinked by a spring exponentially decreases with their distance squared. After formally averaging over network connectivity, we obtained an effective theory with all degrees of freedom replicated 1 + n times. Two thermodynamic ensembles, the preparation ensemble and the measurement ensemble,…
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