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Anomalous entropy-driven kinetics of dislocation nucleation

Author

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  • Soumendu Bagchi

    (Los Alamos National Laboratory
    Oak Ridge National Laboratory)

  • Danny Perez

    (Los Alamos National Laboratory)

Abstract

The kinetics of dislocation reactions, such as dislocation multiplication, controls the plastic deformation in crystals beyond their elastic limit, therefore critical mechanisms in a number of applications in materials science. We present a series of large-scale molecular dynamics simulations that shows that one such type of reactions, the nucleation of dislocation at free surfaces, exhibit unconventional kinetics, including unexpectedly large nucleation rates under compression, very strong entropic stabilization under tension, as well as strong non-Arrhenius behavior. These unusual kinetics are quantitatively rationalized using a variational transition state theory approach coupled with an efficient numerical scheme for the estimation of vibrational entropy changes. These results highlight the need for a variational treatment of the kinetics to quantitatively capture dislocation reaction kinetics, especially at low-to-moderate strains where large deformations are required to activate reactions. These observations suggest possible explanations to previously observed unconventional deformation kinetics in both molecular dynamics simulations and experiments.

Suggested Citation

  • Soumendu Bagchi & Danny Perez, 2025. "Anomalous entropy-driven kinetics of dislocation nucleation," Nature Communications, Nature, vol. 16(1), pages 1-9, December.
  • Handle: RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-56272-4
    DOI: 10.1038/s41467-025-56272-4
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    References listed on IDEAS

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    1. Simon Gelin & Alexandre Champagne-Ruel & Normand Mousseau, 2020. "Enthalpy-entropy compensation of atomic diffusion originates from softening of low frequency phonons," Nature Communications, Nature, vol. 11(1), pages 1-7, December.
    2. Fuchang Gao & Lixing Han, 2012. "Implementing the Nelder-Mead simplex algorithm with adaptive parameters," Computational Optimization and Applications, Springer, vol. 51(1), pages 259-277, January.
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