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Intrinsic ferroelectric switching from first principles.

Shi Liu1, Ilya Grinberg2,3, Andrew M Rappe2

  • 1Geophysical Laboratory, Carnegie Institution for Science, Washington DC 20015, USA.

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|June 17, 2016
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Summary
This summary is machine-generated.

Domain wall motion in ferroelectric materials is key to polarization switching. This study presents a universal model predicting material properties from first principles, aligning with experimental results for better material design.

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Area of Science:

  • Condensed Matter Physics
  • Materials Science

Background:

  • Domain walls influence ferroelectric properties like dielectric, piezoelectric, and pyroelectric responses.
  • Domain-wall motion is critical for polarization switching, observed as hysteresis loops in ferroelectric materials.
  • Current models often rely on defect-driven pinning, leading to sample-dependent behavior and hindering theoretical prediction.

Purpose of the Study:

  • To develop a universal analytical model for domain wall dynamics in ferroelectrics.
  • To connect microscopic, first-principles calculations with macroscopic, finite-temperature properties.
  • To enable accurate prediction of ferroelectric material properties for device design and discovery.

Main Methods:

  • Molecular dynamics simulations of 90° domain walls in lead titanate (PbTiO3).
  • Development of a nucleation-and-growth-based analytical model.
  • First-principles calculations to predict temperature and frequency dependence of hysteresis loops and coercive fields.

Main Results:

  • A simple, universal model for domain wall dynamics was constructed, applicable to various ferroelectrics.
  • The intrinsic temperature and field dependence of domain-wall velocity was characterized, showing nonlinear creep and depinning regions.
  • Predicted coercive fields showed good agreement with experimental data for ceramics and thin films.

Conclusions:

  • Ferroelectric switching is largely governed by intrinsic domain-wall motion, even without defects.
  • The developed model provides an efficient framework for predicting and optimizing ferroelectric material properties.
  • This work bridges the gap between theoretical calculations and experimental observations, facilitating materials discovery.