Assessing the accuracy of compound formation energies with quantum Monte Carlo
arXiv:2204.03441 · doi:10.1103/PhysRevB.105.224110
Abstract
Accurately predicting the formation energy of a compound, which describes its thermodynamic stability, is a key challenge in materials physics. Here, we employ many-body quantum Monte Carlo (QMC) with single-reference trial functions to compute the formation energy of two electronically disparate compounds, the intermetallic VPt and the semiconductor CuI, for which standard density functional theory (DFT) predictions using both the Perdew-Burke Ernzerhof (PBE) and the strongly constrained and appropriately normed (SCAN) density functional approximations deviate markedly from available experimental values. For VPt, we find an agreement between QMC, SCAN, and PBE0 estimates, which therefore remain in disagreement with the much less exothermic experimental value. For CuI, the QMC result agrees with neither SCAN nor PBE pointing towards DFT exchange-correlation biases, likely related to the localized Cu electrons. Compared to the behavior of some density functional approximations within DFT, spin-averaged QMC exhibits a smaller but still appreciable deviation when compared to experiment. The QMC result is slightly improved by incorporating spin-orbit corrections for CuI and solid I, so that experiment and theory are brought into imperfect but reasonable agreement within about 120~meV/atom.
References in corpus (11)
- Advanced capabilities for materials modelling with Quantum ESPRESSO
- Jastrow correlation factor for atoms, molecules, and solids
- The DIRAC code for relativistic molecular calculations
- A critical examination of compound stability predictions from machine-learned formation energies
- The Finite Size Error in Many-body Simulations with long-Ranged Interactions
- Applications of quantum Monte Carlo methods in condensed systems
- Accurate atomic correlation and total energies for correlation consistent effective core potentials
- Cohesion and excitations of diamond-structure silicon by quantum Monte Carlo: Benchmarks and control of systematic biases
- Formation energy puzzle in intermetallic alloys: Random phase approximation fails to predict accurate formation energies
- Prediction of Li intercalation voltages in rechargeable battery cathode materials: effects of exchange-correlation functional, van der Waals interactions, and Hubbard
- Many-body electronic structure of LaScO by real space quantum Monte Carlo