Modeling The Structural And Electronic Properties Of Tetragonal BaTiO3: A Comparative Study Using Density Functional And Many-Body Approaches
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Modelling and Simulation in Materials Science and Engineering
Abstract
The accurate description of the structural and electronic properties of tetragonal BaTiO3 remains
a challenge for density functional theory (DFT) due to self-interaction errors, particularly in the
partially filled Ti(3d) orbitals. In this work, we systematically investigate the performance of sev
eral first-principles approaches, including Perdew–Burke–Ernzerhof revised for solids (PBEsol),
PBEsol+U, PBEsol+U+V, HSE06, and G0W0+Bethe–Salpeter equation (BSE), for modeling the
structural and electronic properties of this prototypical ferroelectric oxide. The on-site Hubbard
U(Ti(3d)) and intersite V (Ti(3d)–O(2p)) parameters are computed self-consistently using dens
ity functional perturbation theory. We show that PBEsol+U incorrectly stabilizes the cubic phase
by suppressing Ti–O hybridization, whereas the inclusion of the intersite V term restores the tet
ragonal structure, yielding accurate lattice parameters and atomic displacements. Among the
methods considered, PBEsol+U+V provides the best agreement with experimental structural
data. All approaches predict an indirect band gap, with PBEsol significantly underestimating
its value. Hybrid HSE06 and G0W0+BSE calculations yield substantially improved band gaps,
with G0W0+BSE predicting 3.30 eV, in close agreement with experiment. While PBEsol+U+V
improves the electronic structure relative to semilocal DFT, it remains less accurate than hybrid
and many-body approaches. These results clarify the role of intersite interactions in stabilizing
the ferroelectric phase of BaTiO3 and highlight the strengths and limitations of commonly used
electronic-structure methods for modeling complex oxides.
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Citation
Amoyaw, N., Egblewogbe, M. N., Atarah, S. A., & Gebreyesus, G. (2026). Modeling the structural and electronic properties of tetragonal BaTiO3: a comparative study using density functional and many-body approaches. Modelling and Simulation in Materials Science and Engineering, 34(4), 045003.
