Literature DB >> 34361139

Optimizing K0.5Na0.5NbO3 Single Crystal by Engineering Piezoelectric Anisotropy.

Weixiong Li1, Chunxu Chen1, Guangzhong Xie1, Yuanjie Su1.   

Abstract

K0.5Na0.5NbO3 is considered as one of the most promising lead-free piezoelectric ceramics in the field of wearable electronics because of its excellent piezoelectric properties and environmental friendliness. In this work, the temperature-dependent longitudinal piezoelectric coefficient d33* was investigated in K0.5Na0.5NbO3 single crystals via the Landau-Ginzburg-Devonshire theory. Results show that the piezoelectric anisotropy varies with the temperature and the maximum of d33max* deviates from the polar direction of the ferroelectric phase. In the tetragonal phase, d33maxt* parallels with cubic polarization direction near the tetragonal-cubic transition region, and then gradually switches toward the nonpolar direction with decreasing temperatures. The maximum of d33o* in the orthorhombic phase reveals a distinct varying trend in different crystal planes. As for the rhombohedral phase, slight fluctuation of the maximum of d33r* was observed and delivered a more stable temperature-dependent maximum d33maxr* and its corresponding angle θmax in comparison with tetragonal and orthorhombic phases. This work not only sheds some light on the temperature-dependent phase transitions, but also paves the way for the optimization of piezoelectric properties in piezoelectric materials and devices.

Entities:  

Keywords:  K0.5Na0.5NbO3; anisotropy; phase; piezoelectric; temperature

Year:  2021        PMID: 34361139     DOI: 10.3390/nano11071753

Source DB:  PubMed          Journal:  Nanomaterials (Basel)        ISSN: 2079-4991            Impact factor:   5.076


  2 in total

1.  Editorial for Special Issue: Highly Efficient Energy Harvesting Based on Nanomaterials.

Authors:  Seok Woo Lee
Journal:  Nanomaterials (Basel)       Date:  2022-05-06       Impact factor: 5.076

2.  Optimizing Piezoelectric Nanocomposites by High-Throughput Phase-Field Simulation and Machine Learning.

Authors:  Weixiong Li; Tiannan Yang; Changshu Liu; Yuhui Huang; Chunxu Chen; Hong Pan; Guangzhong Xie; Huiling Tai; Yadong Jiang; Yongjun Wu; Zhao Kang; Long-Qing Chen; Yuanjie Su; Zijian Hong
Journal:  Adv Sci (Weinh)       Date:  2022-03-11       Impact factor: 17.521

  2 in total

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