2021
DOI: 10.1021/acs.jpcc.1c09086
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Thermodynamics of Rigid Self-Assembled Crystals: Molecular Simulation of Two-Phase Systems under External Fields

Abstract: A general methodology for determining the thermodynamic characteristics of orientationally ordered rigid crystals is presented. The basic problem here is associated with a very small flux of primary molecules that are released from a narrow interface and carry main information on thermodynamic properties of the crystal. The proposed approach is based on the kinetic Monte Carlo simulation of the gas−crystal system with an external "damping field" that reduces the intermolecular potential at the crystal edges an… Show more

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Cited by 8 publications
(23 citation statements)
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References 87 publications
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“…In this study we used the same model for the TMA molecule as that published previously 18 with a small change in the dispersion potential of molecules i and j :The distinction is that the parameter σ (the distance where the dispersion potential passes through zero) now depends on mutual orientation of interacting molecules as follows: σ / σ 0 = b − (1 − b )cos[3( α i − α j )]where α is the smallest angle of a carboxylic group of the molecule relative to x -axis. Eqn (15) accounts for the fact that molecules can be closer to each other if a carboxylic group of one molecule is between two carboxylic groups of the other when, for example, α i = α j = 0.…”
Section: Theoretical Model and Simulation Detailsmentioning
confidence: 99%
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“…In this study we used the same model for the TMA molecule as that published previously 18 with a small change in the dispersion potential of molecules i and j :The distinction is that the parameter σ (the distance where the dispersion potential passes through zero) now depends on mutual orientation of interacting molecules as follows: σ / σ 0 = b − (1 − b )cos[3( α i − α j )]where α is the smallest angle of a carboxylic group of the molecule relative to x -axis. Eqn (15) accounts for the fact that molecules can be closer to each other if a carboxylic group of one molecule is between two carboxylic groups of the other when, for example, α i = α j = 0.…”
Section: Theoretical Model and Simulation Detailsmentioning
confidence: 99%
“…After substitution f to eqn (17) and accounting for μ = f + p / ρ , we have:The parameters n 1 and n 2 in the expansions (18)–(21) are taken as 4 and 3, respectively, which ensures sufficient accuracy of the data fitting. In our previous study 18 a set of p and u values was first generated with the standard Metropolis Monte Carlo method in a uniform simulation cell, followed by regression analysis using eqn (19) and (20). As a result, we have determined the coefficient c and all coefficients b jk except b 10 .…”
Section: Theoretical Model and Simulation Detailsmentioning
confidence: 99%
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“…Density functional theory (DFT) methods are often used to determine the possible geometries and energies of interactions in supramolecular networks. Molecular dynamics and Monte Carlo (MC) modeling has been performed to find the most stable phases of triangular, , linear, cross-shaped, V-shaped, and other , molecules with various functional groups.…”
Section: Introductionmentioning
confidence: 99%