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Atomic radius dependence of impurity diffusion coefficients in liquid Pb.

Masato Shiinoki1,2, Keita Kawashima3, Yoshihiro Kobayashi3

  • 1Department of Applied Mechanics and Aerospace Engineering, Faculty of Science and Engineering, Waseda University, Okubo 3-4-1 Shinjuku-ku, Tokyo 169-8555, Japan.

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|May 5, 2026
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Summary

This study validates a formula for impurity diffusion coefficients in liquid metals. Effective atomic radii from molecular dynamics simulations improved prediction accuracy, reducing errors to 2.4%.

Keywords:
atomic radiusimpurity diffusion coefficientliquid Pbmolecular dynamics simulationpair distribution function

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Area of Science:

  • Materials Science
  • Physical Chemistry
  • Computational Materials Science

Background:

  • Impurity diffusion coefficients are crucial for understanding liquid metal behavior.
  • Existing prediction formulas often lack accuracy due to simplified atomic radius considerations.

Purpose of the Study:

  • To verify a prediction formula for impurity diffusion coefficients.
  • To investigate the use of effective atomic radii derived from molecular dynamics simulations for improved predictions.

Main Methods:

  • Shear cell experiments were conducted for Pb-Cu and Pb-Sn systems at 773 K.
  • Molecular dynamics simulations using neural network potentials were performed for various Pb-solute systems.
  • Effective atomic radii were calculated from partial pair distribution functions.

Main Results:

  • Effective atomic radii derived from simulations differed from Goldschmidt radii, reflecting liquid-state thermodynamic interactions.
  • Radii decreased for high-affinity solutes (Cu, Ag, Sn) and increased for repulsive solutes (Ga) in Pb.
  • The prediction formula incorporating these effective radii achieved high accuracy, with a maximum relative error of 2.4%.

Conclusions:

  • The effective atomic radius calculated from partial pair distribution functions via molecular dynamics simulations is a reliable parameter for impurity diffusion predictions.
  • The validated formula offers a more accurate method for predicting impurity diffusion coefficients in liquid metals.