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Journal of Materials Science

, Volume 50, Issue 6, pp 2502–2509 | Cite as

Molecular dynamics of ionic self-diffusion at an MgO grain boundary

  • Fabio Landuzzi
  • Luca Pasquini
  • Simone Giusepponi
  • Massimo Celino
  • Amelia Montone
  • Pier Luca Palla
  • Fabrizio Cleri
Original Paper

Abstract

The characterization of self-diffusion in MgO grain boundaries is a materials science problem of general interest, being relevant to the stability and reactivity of MgO layers in artificial nanostructures as well as to the understanding of mass transport and morphological evolution in polycrystalline metal oxides which are employed in many technological applications. In addition, atomic transport in MgO is a key factor to describe the rheology of the Earth’s lower mantle. In this work, we tackle the problem using a classical molecular dynamics model and finite-temperature simulations. To this purpose, we first design a stable grain boundary structure, which is meant to be representative of general internal interfaces in nanocrystalline MgO. The Mg and O self-diffusion coefficients along this grain boundary are then determined as a function of temperature by calculating the mean-square ionic displacement in the boundary region. Two different diffusion regimes at low and high temperature are identified, allowing to obtain the relevant activation enthalpies for migration from the temperature dependance of the diffusion coefficients. Our results prove that Mg diffusion along MgO grain boundaries is sufficiently fast to explain the recently reported development of MgO hollow structures during repeated hydrogen sorption cycles in Mg/MgO nanoparticles.

Keywords

Activation Enthalpy Symmetric Tilt Magnesium Hydride Migration Enthalpy Major Groof 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgements

Computational resources and technical support have been provided by the CRESCO ENEA-GRID High-Performance Computing infrastructure and staff. CRESCO is funded by ENEA and by national and European research programs. Additional computational resources were provided by EDARI/CINES Montpellier, under contract x2014077225 (Nanomaterials for Hydrogen storage) to FC. We gratefully acknowledge partial financial support by the COST Action MP1103 “Nanostructured materials for solid-state hydrogen storage.” FL thanks the kind hospitality of IEMN-CNRS and partial support for extended visits.

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Copyright information

© Springer Science+Business Media New York 2015

Authors and Affiliations

  • Fabio Landuzzi
    • 1
  • Luca Pasquini
    • 1
  • Simone Giusepponi
    • 2
  • Massimo Celino
    • 2
  • Amelia Montone
    • 2
  • Pier Luca Palla
    • 3
  • Fabrizio Cleri
    • 3
  1. 1.Department of Physics and Astronomy and CNISMUniversity of BolognaBolognaItaly
  2. 2.ENEA, C. R. CasacciaRomaItaly
  3. 3.Institut d’Eléctronique, Microélectronique et Nanotechnologie (UMR CNRS 8520), Université de Lille IVilleneuve d’AscqFrance

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