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Updated: Jul 17, 2026

Surface Properties of Synthesized Nanoporous Carbon and Silica Matrices

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Published on: March 27, 2019

Interplay between thermal percolation and jamming upon dimer adsorption on binary alloys.

Ernesto S Loscar¹, R A Borzi, Ezequiel V Albano

¹Instituto de Investigaciones Fisicoquímicas Teóricas y Aplicadas, (INIFTA), CONICET, UNLP, Sucursal 4, Casilla de Correo 16, (1900) La Plata, Argentina.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics

|February 7, 2007

Summary

Monte Carlo simulations reveal how surface order affects dimer adsorption. Jamming prevents percolation below a critical temperature, while percolation occurs above it, preserving standard universality classes.

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Methods of Ex Situ and In Situ Investigations of Structural Transformations: The Case of Crystallization of Metallic Glasses

Methods of Ex Situ and In Situ Investigations of Structural Transformations: The Case of Crystallization of Metallic Glasses

Published on: June 7, 2018

Area of Science:

Surface science
Statistical physics
Computational materials science

Background:

Random sequential adsorption (RSA) is crucial for understanding surface processes.
The structural order of substrates significantly influences adsorption phenomena.
Binary alloys exhibit order-disorder transitions affecting surface properties.

Purpose of the Study:

Investigate jamming and percolation in dimer adsorption on ordered binary alloys.
Analyze the impact of substrate structural order on adsorption dynamics.
Determine the relationship between annealing temperature and adsorption behavior.

Main Methods:

Monte Carlo simulations of dimer adsorption via RSA.
Ising model with conserved order parameter to simulate binary alloys.
Annealing and quenching protocols to control substrate order.
Analysis of density-temperature phase diagrams.

Main Results:

Jamming inhibits percolation for T < 1.22Tc; percolation is possible for T > 1.22Tc.
Near T* (1.22Tc), jamming and percolation interplay leads to restricted fluctuations.
Thermal scaling analysis applied to percolation threshold and fluctuations.
Fractal dimension of percolating clusters determined.

Conclusions:

The annealing temperature acts as a control parameter for adsorption processes.
Despite complex interplay, the universality class of standard percolation is maintained.
Findings contribute to understanding adsorption on structured surfaces.