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Quantum Monte Carlo computations of phase stability, equations of state, and elasticity of high-pressure silica

Authors :
Burkhard Militzer
John W. Wilkins
Ronald E. Cohen
Kevin P. Driver
Richard J. Needs
Towler
Zhigang Wu
Pablo López Ríos
Source :
Proceedings of the National Academy of Sciences. 107:9519-9524
Publication Year :
2010
Publisher :
Proceedings of the National Academy of Sciences, 2010.

Abstract

Silica (SiO 2 ) is an abundant component of the Earth whose crystalline polymorphs play key roles in its structure and dynamics. First principle density functional theory (DFT) methods have often been used to accurately predict properties of silicates, but fundamental failures occur. Such failures occur even in silica, the simplest silicate, and understanding pure silica is a prerequisite to understanding the rocky part of the Earth. Here, we study silica with quantum Monte Carlo (QMC), which until now was not computationally possible for such complex materials, and find that QMC overcomes the failures of DFT. QMC is a benchmark method that does not rely on density functionals but rather explicitly treats the electrons and their interactions via a stochastic solution of Schrödinger’s equation. Using ground-state QMC plus phonons within the quasiharmonic approximation of density functional perturbation theory, we obtain the thermal pressure and equations of state of silica phases up to Earth’s core–mantle boundary. Our results provide the best constrained equations of state and phase boundaries available for silica. QMC indicates a transition to the dense α -PbO 2 structure above the core-insulating D” layer, but the absence of a seismic signature suggests the transition does not contribute significantly to global seismic discontinuities in the lower mantle. However, the transition could still provide seismic signals from deeply subducted oceanic crust. We also find an accurate shear elastic constant for stishovite and its geophysically important softening with pressure.

Details

ISSN :
10916490 and 00278424
Volume :
107
Database :
OpenAIRE
Journal :
Proceedings of the National Academy of Sciences
Accession number :
edsair.doi.dedup.....1c44f5612af7188128ca890d51830d02
Full Text :
https://doi.org/10.1073/pnas.0912130107