Quantum Monte Carlo Simulation of Nanoscale MgH2 Cluster Thermodynamics

ORAL

Abstract

We calculated the desorption energy of MgH$_{2}$ clusters using the quantum Monte Carlo (QMC) approach, which can provide desorption energies with chemical accuracy (within $\approx 1$ kcal/mol) and therefore a valuable benchmark for such hydrogen-storage simulations. Compared with these QMC results, the widely used density-functional-theory (DFT) computations cannot reach a consistent and suitable level of accuracy across the thermodynamically tunable range for MgH$_{2}$ clusters, for a wide range of exchange-correlation functionals. Furthermore, our QMC calculations show that the DFT error depends substantially on cluster size. These results suggest that in simulating metal-hydride systems it is crucial to apply accurate methods that go beyond traditional mean-field approaches as a benchmark of their performance for a given material, and QMC is an appealing method for such a benchmark due to its high level of accuracy and favorable scaling ($N^{3}$) with number of electrons.

*This work was supported by the U.S. Department of Energy Office of Hydrogen, Fuel Cells, and Infrastructure Program.

Authors

  • Zhigang Wu

    • Colorado School of Mines
  • Mark Allendorf

    • Sandia National Laboratory
  • Jeffrey C. Grossman

    • MIT
    • Massachusetts Institute of Technology