Phase-field modeling of coupled bulk photovoltaic effect and ferroelectric domain manipulation at ultrafast timescales

IF 9.4 1区 材料科学 Q1 CHEMISTRY, PHYSICAL
Yi-De Liou, Kena Zhang, Ye Cao
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Abstract

The bulk photovoltaic (BPV) effect, which generates steady photocurrents and above-bandgap photovoltages in non-centrosymmetric materials when exposed to light, holds great potential for advancing optoelectronic and photovoltaic technologies. However, its influence on the reconfiguration of ferroelectric domain structure remains underexplored. In this study, we developed a phase-field model to understand the BPV effect in ferroelectric oxides. Our model reveals that variations in BPV currents across domains create opposing charges at domain walls, enhancing the electric field within domains to ~1000 kV/cm. The strong electric fields can reorient the ferroelectric polarization and enable ultrafast domain wall movements and nonvolatile domain switching on the picosecond scale. Applying anisotropic strain can further strengthen this effect, enabling more precise control of domain switching. Our findings advance the fundamental understanding of BPV effect in ferroelectrics, paving the ways for developing opto-ferroelectric memory technologies and high-efficiency photovoltaic applications via precise domain engineering.

Abstract Image

超快时间尺度下耦合体光伏效应和铁电畴操纵的相场建模
体光伏(BPV)效应在非中心对称材料暴露于光中时产生稳定的光电流和带隙以上的光伏,在推进光电和光伏技术方面具有巨大的潜力。然而,其对铁电畴结构重构的影响尚未得到充分研究。在这项研究中,我们建立了一个相场模型来理解铁电氧化物中的BPV效应。我们的模型显示,跨畴BPV电流的变化在畴壁处产生相反的电荷,将畴内的电场增强到~1000 kV/cm。强电场可以重新定位铁电极化,实现皮秒级的超快畴壁运动和非易失性畴切换。施加各向异性应变可以进一步加强这种效应,从而可以更精确地控制畴切换。我们的发现促进了对铁电体中BPV效应的基本理解,为通过精确的领域工程开发光铁电存储技术和高效光伏应用铺平了道路。
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来源期刊
npj Computational Materials
npj Computational Materials Mathematics-Modeling and Simulation
CiteScore
15.30
自引率
5.20%
发文量
229
审稿时长
6 weeks
期刊介绍: npj Computational Materials is a high-quality open access journal from Nature Research that publishes research papers applying computational approaches for the design of new materials and enhancing our understanding of existing ones. The journal also welcomes papers on new computational techniques and the refinement of current approaches that support these aims, as well as experimental papers that complement computational findings. Some key features of npj Computational Materials include a 2-year impact factor of 12.241 (2021), article downloads of 1,138,590 (2021), and a fast turnaround time of 11 days from submission to the first editorial decision. The journal is indexed in various databases and services, including Chemical Abstracts Service (ACS), Astrophysics Data System (ADS), Current Contents/Physical, Chemical and Earth Sciences, Journal Citation Reports/Science Edition, SCOPUS, EI Compendex, INSPEC, Google Scholar, SCImago, DOAJ, CNKI, and Science Citation Index Expanded (SCIE), among others.
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