Comparative first-principles studies of prototypical ferroelectric materials by LDA, GGA, and SCAN meta-GGA
Yubo Zhang, Jianwei Sun, John P. Perdew, and Xifan Wu

TL;DR
This study compares the performance of LDA, GGA, and SCAN meta-GGA functionals in first-principles calculations of diverse ferroelectric materials, demonstrating that SCAN offers significant improvements in accuracy and predictive power.
Contribution
It introduces the SCAN meta-GGA functional as a superior alternative for studying ferroelectric properties across different bonding types in materials.
Findings
SCAN significantly improves structural and energetic predictions.
GGA performs better for hydrogen-bonded ferroelectrics.
LDA is more accurate for conventional perovskite ferroelectrics.
Abstract
Originating from a broken spatial inversion symmetry, ferroelectricity is a functionality of materials with an electric dipole that can be switched by external electric fields. Spontaneous polarization is a crucial ferroelectric property, and its amplitude is determined by the strength of polar structural distortions. Density functional theory (DFT) is one of the most widely used theoretical methods to study ferroelectric properties, yet it is limited by the levels of approximations in electron exchange-correlation. On the one hand, the local density approximation (LDA) is considered to be more accurate for the conventional perovskite ferroelectrics such as BaTiO3 and PbTiO3 than the generalized gradient approximation (GGA), which suffers from the so-called super-tetragonality error. On the other hand, GGA is more suitable for hydrogen-bonded ferroelectrics than LDA, which largely…
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