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Molecular Physics
An International Journal at the Interface Between Chemistry and Physics
Volume 116, 2018 - Issue 21-22: Daan Frenkel – An entropic career
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Frenkel Special Issue

Free energy and concentration of crystalline vacancies by molecular simulation

, , , & ORCID Icon
Pages 3027-3041 | Received 23 Feb 2018, Accepted 12 May 2018, Published online: 06 Jun 2018
 

ABSTRACT

We present an approach for evaluating the concentration of vacancy defects in crystalline materials by molecular simulation. The proposed method circumvents the problem of equilibration of the number of ‘lattice sites’ M, which characterises the trade-off between more, smaller lattice cells (with some vacant), versus fewer, larger cells. Working in a grand-canonical framework, we instead fix M and solve for the chemical potential μ that ensures thermodynamic consistency of the ensemble-averaged pressure and the grand potential. Having determined μ this way for the given M, the equilibrium vacancy concentration and free energy are easily determined. Methods are demonstrated for the classical Lennard–Jones fcc crystal, examining all states where the crystal is stable. We find for this system that the effect of equilibrating M is negligible at all conditions. Also, although the vacancy fraction varies by many orders of magnitude with temperature and density, we find that the value at melting is nearly independent of density, equal to about . Results further show that a lattice-energy approximation (ignoring entropic effects) underestimates the correct concentration by four orders of magnitude at almost all conditions; ignoring only anharmonic contributions underestimates the vacancy concentration at melting by nearly one order of magnitude.

GRAPHICAL ABSTRACT

Disclosure statement

No potential conflict of interest was reported by the authors.

ORCID

David A. Kofke   http://orcid.org/0000-0002-2530-8816

Additional information

Funding

This work was supported by the U.S. National Science Foundation, grants OAC-1739145, CBET-1510017, and CHE-1362572. Computational resources were provided by the Center for Computational Research (CCR), University at Buffalo.

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