Flexoelectricity in Solids: Progress, Challenges, and Perspectives
Abstract
The flexoelectricity describes the contribution of the linear couplings between the electric polarization and strain gradient and between polarization gradient and strain to the thermodynamics of a solid and represents the amount of polarization change of a solid arising from a strain gradient. Although the magnitude of the flexoelectric effect is generally small, its contribution to the overall thermodynamics of a solid may become significant or even dominant at the nanometer scale. Recent experimental and computational efforts have led to significant advances in our understanding of the flexoelectric effect and its exploration of potential applications in devices such as sensors, actuators, energy harvesters, and nanoelectronics. Here we review the theoretical development and experimental progress in flexoelectricity including the types of materials systems that have been explored and their potential applications. We discuss the challenges in the experimental measurements and density functional theory computations of the flexoelectric coefficients including understanding the order of magnitude discrepancies between existing experimentally measured and computed values. Finally, we offer a perspective on the future directions for research on flexoelectricity.
Recommended Citation
B. Wang et al., "Flexoelectricity in Solids: Progress, Challenges, and Perspectives," Progress in Materials Science, vol. 106, Elsevier Ltd, Dec 2019.
The definitive version is available at https://doi.org/10.1016/j.pmatsci.2019.05.003
Department(s)
Materials Science and Engineering
Research Center/Lab(s)
Center for High Performance Computing Research
Keywords and Phrases
Ferroelectricity; Flexoelectricity; Piezoelectricity
International Standard Serial Number (ISSN)
0079-6425
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2019 Elsevier Ltd, All rights reserved.
Publication Date
01 Dec 2019
Comments
This work was supported by National Science Foundation (NSF) through Grant No. DMR 1410714 and DMR-1744213.