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April 1, 2026Surfaces0 citationsOpen Access

Surface Diffusion at Finite Coverage: The Characteristic Function Method

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ETElena Esther Torres-MiyaresSMSalvador Miret-Artés

Key Points

  • The goal is to develop a method for modeling the diffusion of adsorbates by considering their interactions based on surface coverage.
  • Introduced the characteristic function method to study diffusion of interacting adsorbates.
  • Reviewed the dilute limit related to non-interacting adsorbates.
  • Extended the analysis to low and intermediate coverages with adsorbate interactions.
  • Identified the intermediate scattering function as a characteristic function in probability theory.
  • Generated functions for moments and cumulants of the jump probability distribution at any order.
  • Demonstrated that the static structure factor corresponds to the adsorbate separation distance distribution.
  • Provided a clear link between diffusion coefficients and structural correlations at varying coverage levels.

Abstract

In this work, the so-called characteristic function method is proposed as a new approach to describe and interpret the diffusion process with interacting adsorbates in terms of surface coverage. In this context, the intermediate scattering function is identified as a characteristic function that is very well defined in probability theory. From this function, the generating functions of the moments and cumulants of the jump probability distribution are straightforwardly obtained at any order. This analysis is carried out in two stages. First, the dilute limit, corresponding to non-interacting adsorbates or very low surface coverage, is briefly reviewed. Second, the method is extended to low and intermediate coverages, where adsorbate-adsorbate interactions become relevant. A further consequence of the present analysis is that the static structure factor is also a characteristic function of the adsorbate separation distance distribution. This method thus provides a compact and physically transparent route for connecting scattering observables, diffusion coefficients, and coverage-dependent structural correlations.

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Cite This Study

Torres-Miyares et al. (2026) studied this question.

synapsesocial.com/papers/69ccb75916edfba7beb8946chttps://doi.org/10.3390/surfaces9020032
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