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Domain Dynamics under Ultrafast Electric-Field Pulses.
Yang, Tiannan; Wang, Bo; Hu, Jia-Mian; Chen, Long-Qing.
Afiliação
  • Yang T; Department of Materials Science and Engineering, The Pennsylvania State University, University Park, Pennsylvania 16802, USA.
  • Wang B; Department of Materials Science and Engineering, The Pennsylvania State University, University Park, Pennsylvania 16802, USA.
  • Hu JM; Department of Materials Science and Engineering, The Pennsylvania State University, University Park, Pennsylvania 16802, USA.
  • Chen LQ; Department of Materials Science and Engineering, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA.
Phys Rev Lett ; 124(10): 107601, 2020 Mar 13.
Article em En | MEDLINE | ID: mdl-32216398
ABSTRACT
Exploring the dynamic responses of a material is of importance to both understanding its fundamental physics at high frequencies and potential device applications. Here we develop a phase-field model for predicting the dynamics of ferroelectric materials and study the dynamic responses of ferroelectric domains and domain walls subjected to an ultrafast electric-field pulse. We discover a transition of domain evolution mechanisms from pure domain growth at a relatively low field to combined nucleation and growth of domains at a high field. We derive analytical models for the two regimes which allow us to extract the effective mass and damping coefficient of ferroelectric domain walls. The exhibition of two regimes for the ferroelectric domain dynamics at low and high electric fields is expected to be a general phenomenon that would appear for ferroic domains under other ultrafast stimuli. The present Letter also offers a general framework for studying domain dynamics and obtaining fundamental properties of domain walls and thus for manipulating the dynamic functionalities of ferroelectric materials.

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article