Integrated thermodynamic modeling of composition and strain tunable ferroelectricity in Wurtzite Zn1-xMgxO
Abstract
Ferroelectric wurtzite \({{\rm{Zn}}}_{1{-}{\rm{x}}}{{\rm{Mg}}}_{{\rm{x}}}{\rm{O}}\) shows significant promise due to its ferroelectric properties, scalability, and compatibility with semiconductor platforms. We develop an integrated thermodynamic modeling framework that couples CALPHAD, first-principles calculations, and Landau-Devonshire theory to predict phase stability and ferroelectric behavior in \({{\rm{Zn}}}_{1{-}{\rm{x}}}{{\rm{Mg}}}_{{\rm{x}}}{\rm{O}}\) . CALPHAD quantifies the solubility limit in wurtzite and delineates the critical phase boundary for supersaturation, offering insights into phase separation relevant for synthesis and processing. First-principles calculations provide composition-dependent structural, elastic, and ferroelectric properties, enabling parameterization of Landau-Devonshire ferroelectric model for wurtzite \({{\rm{Zn}}}_{1{-}{\rm{x}}}{{\rm{Mg}}}_{{\rm{x}}}{\rm{O}}\) single crystals. Extending the framework to epitaxial thin films, we show how composition and biaxial strain jointly influence phase stability and room temperature functional properties. Large biaxial tensile strain stabilizes the wurtzite phase with high Mg content in thin films, unlike the equilibrium two-phase mixture with very limited Mg solubility. Meanwhile, tensile epitaxial strain reduces polarization but enhances dielectric and piezoelectric responses by driving a polar-to-nonpolar transition within the accessible composition range. Together, these results demonstrate that both chemical modification and strain engineering are essential for enabling and tuning ferroelectricity in \({{\rm{Zn}}}_{1{-}{\rm{x}}}{{\rm{Mg}}}_{{\rm{x}}}{\rm{O}}\) . Our unified approach establishes a comprehensive thermodynamic framework for the predictive design of strain-tunable wurtzite ferroelectrics.
Fields of Study & Subjects
Ferroelectric and Piezoelectric Materials
Multiferroics and related materials
ZnO doping and properties
Publication details
- Journal / source
- npj Computational Materials
- Publisher
- Springer Science and Business Media LLC
- Volume
- 12
- Issue
- 1
- Publication date
- 5 March 2026
- Language
- EN