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Self-diffusion coefficient as a function of the thermodynamic factor.

M Sampayo Puelles1, M Hoyuelos1

  • 1<a href="https://ror.org/009d3ws08">Instituto de Investigaciones Físicas de Mar del Plata</a> (IFIMAR-CONICET), Departamento de Física, Facultad de Ciencias Exactas y Naturales, <a href="https://ror.org/055eqsb67">Universidad Nacional de Mar del Plata</a>, Deán Funes 3350, 7600 Mar del Plata, Argentina.

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|August 20, 2024
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Summary
This summary is machine-generated.

This study introduces a new model for fluid diffusion, using thermodynamic factors instead of excess entropy. The model accurately predicts self-diffusion for hard spheres and Lennard-Jones gases with consistent parameters.

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Area of Science:

  • Thermodynamics
  • Fluid Dynamics
  • Statistical Mechanics

Background:

  • Existing theories for dense fluids often lack broad applicability across different particle types or concentrations.
  • Rosenfeld's theory linked self-diffusion coefficient to excess entropy, but a more general approach is needed.

Purpose of the Study:

  • To develop a novel theory for self-diffusion in dense fluids.
  • To utilize thermodynamic factors, specifically the excess chemical potential, as a basis for diffusion theory.
  • To create a model applicable across various interaction potentials without parameter readjustment.

Main Methods:

  • Developed a theoretical model based on the thermodynamic factor and excess chemical potential.
  • Validated the model using molecular dynamics simulations for hard spheres.
  • Tested the model's transferability using simulations for a Lennard-Jones gas.

Main Results:

  • The model was successfully fitted to hard sphere simulation data using two free parameters.
  • The same parameters accurately predicted diffusion for the Lennard-Jones gas, demonstrating model transferability.
  • The model shows promise for describing experimental data, particularly in high-density regimes.

Conclusions:

  • The proposed model offers a more universally applicable approach to dense fluid diffusion.
  • Using thermodynamic factors provides a robust framework that transcends specific interaction potentials.
  • The model's success with hard spheres and Lennard-Jones systems suggests potential for broader applications, including experimental data analysis like xenon self-diffusion.