Data-driven methods for discovery of next-generation electrostrictive materials - Archive ouverte HAL Access content directly
Journal Articles npj Computational Materials Year : 2022

Data-driven methods for discovery of next-generation electrostrictive materials

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Abstract

All dielectrics exhibit electrostriction, i.e., display a quadratic strain response to an electric field compared to the linear strain dependence of piezoelectrics. As such, there is significant interest in discovering new electrostrictors with enhanced electrostrictive coefficients, especially as electrostrictors can exhibit effective piezoelectricity when a bias electric field is applied. We present the results of a study combining data mining and first-principles computations that indicate that there exists a group of iodides, bromides, and chlorides that have electrostrictive coefficients exceeding 10 m 4 C –2 which are substantially higher than typical oxide electrostrictive ceramics and polymers. The corresponding effective piezoelectric voltage coefficients are three orders of magnitude larger than lead zirconate titanate.
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Dates and versions

hal-03903429 , version 1 (19-12-2022)

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Dennis Trujillo, Ashok Gurung, Jiacheng Yu, Sanjeev Nayak, S. Pamir Alpay, et al.. Data-driven methods for discovery of next-generation electrostrictive materials. npj Computational Materials, 2022, 8 (1), pp.251. ⟨10.1038/s41524-022-00941-1⟩. ⟨hal-03903429⟩
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