Reproducibility of Hybrid Density Functional Calculations for Equation-of-State Properties and Band Gaps
Yuyang Ji, Peize Lin, Xinguo Ren, Lixin He

TL;DR
This study benchmarks the numerical reproducibility of four independent implementations of hybrid density functional calculations, focusing on properties like equations of state and band gaps for crystalline solids, revealing both promising accuracy and current limitations.
Contribution
It provides a systematic comparison of HSE hybrid functional implementations, highlighting the impact of numerical approximations and pseudopotential choices on reproducibility.
Findings
Band gaps are consistently reproduced across codes.
Lattice constants and bulk moduli show larger, code-dependent deviations.
Current implementations' precision limits the assessment of HDF physical accuracy.
Abstract
Hybrid density functional (HDF) approximations usually deliver higher accuracy than local and semilocal approximations to the exchange-correlation functional, but this comes with drastically increased computational cost. Practical implementations of HDFs inevitably involve numerical approximations -- even more so than their local and semilocal counterparts due to the additional numerical complexity arising from treating the exact-exchange component. This raises the question regarding the reproducibility of the HDF results yielded by different implementations. In this work, we benchmark the numerical precision of four independent implementations of the popular Heyd-Scuseria-Ernzerhof (HSE) range-separated HDF on describing key materials' properties, including both properties derived from equations of states (EOS) and band gaps of 20 crystalline solids. We find that the energy band gaps…
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Taxonomy
TopicsAdvanced Chemical Physics Studies · Machine Learning in Materials Science · Inorganic Fluorides and Related Compounds
