Formation energy puzzle in intermetallic alloys: Random phase approximation fails to predict accurate formation energies

TL;DR

This study evaluates the accuracy of various density functional theory methods, including RPA, in predicting formation energies of intermetallic alloys, revealing limitations of RPA for alloys with partially-filled d-bands.

Contribution

It demonstrates that RPA and other nonlocal functionals have limitations in predicting formation energies for alloys with partially-filled d-bands, highlighting the importance of electronic property accuracy.

Findings

RPA overestimates formation energies for alloys with partially-filled d-bands.

PBE-GGA outperforms in alloys with partially-filled d-bands.

RPA results can be improved by correcting the exchange-correlation kernel.

Abstract

We performed density functional calculations to estimate the formation energies of intermetallic alloys. We used two semilocal approximations, the generalized gradient approximation (GGA) by Perdew-Burke-Ernzerhof (PBE) and the strongly constrained and appropriately normed (SCAN) meta-GGA. In addition, we utilized two nonlocal DFT functionals, the hybrid HSE06, and the state-of-the-art random phase approximation (RPA). The nonlocal functionals such as HSE06 and RPA yield accurate formation energies of binary alloys with completely-filled d-band metals, where semilocal functionals underperform. The accuracy at the nonlocal functionals is greatly reduced when a partially-filled d-band metal is present in an alloy, while PBE-GGA outperforms in these cases. We show that the accurate prediction of formation energies by any DFT method depends on its ability to predict the accurate electronic properties, e.g., valence d-band contribution to the density of states (DOS). The SCAN meta-GGA often corrects the PBE-DOS, however, it does not provide accurate formation energies compared to PBE. This is assumed to be due to the lack of proper error cancellation that should be expected due to the similar bulk nature of both alloys and their constituents, which may improve with the modification of meta-GGA ingredients. RPA yields too negative formation energies of alloys with partially-filled d-band metals. RPA results can be corrected by restoring the exchange-correlation kernel, thereby improving the short-range electron-electron correlation in metallic densities.