Advancing from phenomenological to predictive theory of ferroelectric oxide solution properties through consideration of domain walls
Atanu Samanta, Suhas Yadav, Or Shafir, Zongquan Gu, Cedric J.G., Meyers, Liyan Wu, Dongfang Chen, Shishir Pandya, Robert A. York, Lane W., Martin, Jonathan E. Spanier, Ilya Grinberg

TL;DR
This paper develops a predictive theoretical framework for ferroelectric oxide solutions by analyzing domain wall interactions and multi-scale property relationships, surpassing traditional non-predictive models.
Contribution
It introduces a unified theory linking composition to ferroelectric properties and phase stability, advancing beyond existing phenomenological and DFT methods.
Findings
Identifies key interactions governing ferroelectric behavior.
Provides a multi-scale framework for property prediction.
Enables rapid screening of promising piezoelectric materials.
Abstract
Prediction of properties from composition is a fundamental goal of materials science and can greatly accelerate development of functional materials. It is particularly relevant for ferroelectric perovskite solid solutions where compositional variation is a primary tool for materials design. To advance beyond the commonly used Landau-Ginzburg-Devonshire and density functional theory methods that despite their power are not predictive, we elucidate the key interactions that govern ferroelectrics using 5-atom bulk unit cells and non-ground-state defect-like ferroelectric domain walls as a simple as possible but not simpler model systems. We also develop a theory relating properties at several different length scales that provides a unified framework for the prediction of ferroelectric, antiferroelectric and ferroelectric phase stabilities and the key transition temperature, coercive field…
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Taxonomy
TopicsFerroelectric and Piezoelectric Materials · Multiferroics and related materials · Microwave Dielectric Ceramics Synthesis
