Revisiting NaNbO3 structural phase diagram through first principles studies

ORAL

Abstract

NaNbO3 is typically coined as the most complex perovskite system due to its intricate temperature-induced structural phase diagram, with applications for high-density optical storage [1] and high output piezoelectricity [2]. The structural phase diagram of NaNbO3 is generally believed to possess seven preeminent phases that include paraelectric, antiferroelectric and ferroelectric states in a temperature range from 0 to 913 K. Although experimental and theoretical studies have been carried out to understand the structural changes of NaNbO3, there is still discussion about its exact phase diagram. Inspired by Ref. [3] that used first principles calculations (at the LDA and GGA level) along with an effective Hamiltonian approach to study the phase diagram of NaNbO3, we perform here first principles calculations of NaNbO3 at the meta-GGA level using the SCAN [4] and r2SCAN [5] density functionals that have been showed with superior performance on complex materials, aiming to provide more insights in the understanding of the complex phase diagram of NaNbO3.

* This work is supported by the U.S. Office of Naval Research (ONR) Grant No. N00014-22-1-2673

Publication: [1] S. K. Mishra et al. "Phase stability and structural temperature dependence in sodium niobate: A high-resolution powder
neutron diffraction study". In: Phys. Rev. B 83 (13 Apr. 2011), p. 134105. doi: 10.1103/PhysRevB.83.134105. url:
https://link.aps.org/doi/10.1103/PhysRevB.83.134105.
[2] Jong Hoon Jung et al. "Lead-free NaNbO3 nanowires for a high output piezoelectric nanogenerator". In: ACS nano 5.12
(2011), pp. 10041–10046.
[3] Yali Yang et al. "Understanding and revisiting the most complex perovskite system via atomistic simulations". In:
Physical Review B 97.17 (2018), p. 174106.
[4] Jianwei Sun, Adrienn Ruzsinszky, and John P. Perdew. "Strongly Constrained and Appropriately Normed Semilocal
Density Functional". In: Phys. Rev. Lett. 115 (3 July 2015), p. 036402. doi: 10.1103/PhysRevLett.115.036402. url:
https://link.aps.org/doi/10.1103/PhysRevLett.115.036402.
[5] James W Furness et al. "Accurate and numerically efficient r2SCAN meta-generalized gradient approximation". In: The
journal of physical chemistry letters 11.19 (2020), pp. 8208–8215.

Presenters

  • Jorge D Vega Bazantes

    Tulane University

Authors

  • Jorge D Vega Bazantes

    Tulane University

  • Ruiqi Zhang

    Tulane Univeristy, Tulane University

  • Yali Yang

    University of Science and Technology Beijing

  • Laurent Bellaiche

    University of Arkansas

  • Jianwei Sun

    Tulane, Tulane University