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Lowering of Tc in Van Der Waals Layered Materials Under In-Plane Strain

机译:在面内应变下的Van der WaaS中的TC降低

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The dependence of electromechanical behavior on strain in ferroelectric materials can be leveraged as parameter to tune ferroelectric properties such as the Curie temperature. For van der Waals materials, a unique opportunity arises because of wrinkling, bubbling, and Moire phenomena accessible due to structural properties inherent to the van der Waals gap. Here, we use piezoresponse force microscopy and unsupervised machine learning methods to gain insight into the ferroelectric properties of layered CuInP2S6 where local areas are strained in-plane due to a partial delamination, resulting in a topographic bubble feature. We observe significant differences between strained and unstrained areas in piezoresponse images as well as voltage spectroscopy, during which strained areas show a sigmoid-shaped response usually associated with the response measured around the Curie temperature, indicating a lowering of the Curie temperature under tensile strain. These results suggest that strain engineering might be used to further increase the functionality of CuInP2S6 through locally modifying ferroelectric properties on the micro- and nanoscale.
机译:机电行为对铁电材料应变的依赖性可以利用作为调节铁电性能,例如居里温度的参数。对于van der WALS材料,由于披风,冒泡和莫尔现象,因此由于van der waals差距所固有的结构性而获得的皱纹和莫尔现象,因此出现了独特的机会。在这里,我们使用压电响应力显微镜和无监督的机器学习方法,以了解分层CuinP2S6的铁电特性,其中由于部分分层而在平面内应变,导致地形泡特征。我们在压电响应图像中以及电压光谱中观察到应变和非训练区域之间的显着差异,在此期间应变区域显示通常与静脉温度围绕静脉温度测量的响应相关的矩形形状响应,表明在拉伸应变下的居里温度降低。这些结果表明,应使用应变工程来进一步提高CUINP2S6的功能,通过在微型和纳米级上局部改变铁电性能。

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