Quantum Monte Carlo Computations for Equations of State, Phase Transitions, and Elasticity of Silica

ORAL

Abstract

We have performed Quantum Monte Carlo (QMC) computations for silica in the quartz, stishovite, and $\alpha$-PbO$_2$ structures as functions of compression. In spite of the great success of DFT there is still need for improvement. The local density approximation (LDA) gives excellent results for individual silica phases, but LDA predicts stishovite to be the stable ground state rather than quartz. The Generalized Gradient Approximation (GGA) does give correct energy differences, but other properties, such as the bulk moduli, are worse with the GGA than the LDA. We included thermal contributions using density functional perturbation theory with the code ABINIT. We have also computed the shear elastic constant c$_{11}$-c$_{12}$ in stishovite, which is associated with the phase transition to the CaCl$_2$ structure, with QMC. We find excellent agreement with experiments. We find that the main differences between QMC and DFT are crystalline phase dependent energy and pressure shifts. This work is supported by NSF grants EAR-0530282, EAR-0310139, and by DOE contract DE-FG02-99ER45795 to John Wilkins. Computations were performed on blueice at NCAR under a BTS grant, and on Tungsten and Abe at NCSA, and at the Carnegie Institution of Washington.

Authors

  • R.E. Cohen

    Geophysical Laboratory, Carnegie Institution of Washington, Carnegie Instiution of Washington

  • Burkhard Militzer

    UC Berkeley, University of California, Berkeley, Earth and Planetary Science Department, University of California, Berkeley.

  • Z. Wu

    BNNI, University of California at Berkeley and Molecular Foundry, Lawrence Berkeley National Laboratory, University of California, Berkeley

  • K. Driver

    Ohio State, Ohio State University

  • P.L. Rios

    Cambridge, University of Cambridge

  • M. Towler

    TCM, Cavendish Laboratory, University of Cambridge, U.K., Cambridge, University of Cambridge

  • R. Needs

    TCM, Cavendish Laboratory, University of Cambridge, U.K., Cambridge, University of Cambridge