Towards predictive band gaps for halide perovskites: Lessons from one-shot and eigenvalue self-consistent GW
arXiv:1903.11376 · doi:10.1103/PhysRevMaterials.3.103803
Abstract
Halide perovskites constitute a chemically-diverse class of crystals with great promise as photovoltaic absorber materials, featuring band gaps between about 1 and 3.5 eV depending on composition. Their diversity calls for a general computational approach to predicting their band gaps. However, such an approach is still lacking. Here, we use density functional theory (DFT) and many-body perturbation theory within the GW approximation to compute the quasiparticle or fundamental band gap of a set of ten representative halide perovskites: CHNHPbI (MAPbI), MAPbBr, CsSnBr, (MA)BiTlBr, CsTlAgBr, CsTlAgCl, CsBiAgBr, CsInAgCl, CsSnBr, and CsAuI. Comparing with recent measurements, we find that a standard generalized gradient exchange-correlation functional can significantly underestimate the experimental band gaps of these perovskites, particularly in cases with strong spin-orbit coupling (SOC) and highly dispersive band edges, to a degree that varies with composition. We show that these nonsystematic errors are inherited by one-shot GW and eigenvalue self-consistent GW calculations, demonstrating that semilocal DFT starting points are insufficient for MAPbI, MAPbBr, CsSnBr, (MA)BiTlBr, CsTlAgBr, and CsTlAgCl. On the other hand, we find that DFT with hybrid functionals leads to an improved starting point and GW results in better agreement with experiment for these perovskites. Our results suggest that GW with hybrid functional-based starting points are promising for predicting band gaps of systems with large SOC and dispersive bands in this technologically important class of semiconducting crystals.
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