Temperature-dependent phase transition of ferroelectric perovskites: A Wang-Landau-DFT approach
ORAL
Abstract
Since the discovery of ferroelectricity in perovskite oxides, considerable efforts have been devoted to understanding their phase transition behaviors in terms of temperature, pressure, and composition. Such materials have regularly been used in transducer and actuator applications. As our first step to make accurate predictions of the crystal phases of more complex oxides such as Pb(Zr$_{x}$Ti$_{1-x})$O$_{3}$, we have used the Wang-Landau (WL) algorithm and density functional theory (DFT) to examine the temperature-dependent phase transition of PbTiO$_{3}$, BaTiO$_{3}$, and KNbO$_{3}$. DFT was employed to evaluate the energetics of important crystal-structure candidates, which were later used as the input for WL algorithm. In addition, we examine how the choice of exchange-correlation functionals affects our predictions of the relevant phase transition temperatures.
*Research supported by the U.S. Department of Energy, Office of Science, Basic Energy Sciences, Materials Science and Engineering Division and the Office of Science Early Career Research Program (V.R.C.) and used resources at NERSC and OLCF.
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