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Modeling defects and plasticity in MgSiO3 post-perovskite: Part 1-generalized stacking faults
Alexandra M Goryaeva1, Philippe Carrez1, Patrick Cordier1
1Unité Matériaux et Transformations - UMR CNRS 8207 - Bat C6, Université Lille 1, 59655 Villeneuve d'Ascq Cedex, France.
This study validates a potential model for simulating MgSiO3 post-perovskite, crucial for understanding Earth's deep mantle. The model accurately predicts fault energies, aiding future dislocation studies in this high-pressure material.
Area of Science:
- Geophysics and Planetary Science
- Materials Science
- Computational Mineral Physics
Background:
- MgSiO3 post-perovskite is a key mineral in Earth's D″ layer, influencing deep mantle geodynamics.
- Understanding dislocation mobility and fault energies in this phase is critical for interpreting seismic data and mantle convection.
- Previous studies often relied on computationally expensive ab initio methods.
Purpose of the Study:
- To assess the transferability of a pairwise potential model, originally developed for MgSiO3 perovskite, to MgSiO3 post-perovskite.
- To accurately compute the excess energies of generalized stacking faults (GSF, or γ-surfaces) in MgSiO3 post-perovskite at 120 GPa.
- To identify favorable slip systems for dislocation glide in MgSiO3 post-perovskite under deep mantle conditions.
Main Methods:
- Utilized a transferable pairwise potential model derived for MgSiO3 perovskite.
- Performed generalized stacking fault energy (γ-surface) calculations for MgSiO3 post-perovskite at 120 GPa.
- Systematically analyzed all potential slip plane locations within the post-perovskite crystal structure.
Main Results:
- The pairwise potential model successfully computed GSF energies in MgSiO3 post-perovskite.
- Calculations identified slip systems with the smallest shear vector [100] and the [001](010) system as having the easiest glide.
- Results align with previous ab initio calculations, confirming the model's accuracy.
Conclusions:
- The chosen pairwise potential model is validated for atomistic simulations of MgSiO3 post-perovskite.
- This model provides a computationally efficient alternative for studying dislocations and plastic deformation in the deep mantle.
- Findings support further full atomistic modeling of dislocations in MgSiO3 post-perovskite for enhanced geodynamic insights.
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