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High-throughput sequential excitation for nanoscale mapping of electrochemical strain in granular ceria

机译:高通量序列激励的纳米电化学应变的映射细粒度的二氧化铈

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摘要

Dynamic strain based atomic force microscopy (AFM) modes often fail at the interfaces where the most interesting physics occurs because of their incapability of tracking contact resonance accurately under rough topography. To overcome this difficulty, we develop a high-throughput sequential excitation AFM that captures contact dynamics of probe-sample interactions with high fidelity and efficiency, acquiring the spectrum of data on each pixel over a range of frequencies that are excited in a sequential manner. Using electrochemically active granular ceria as an example, we map both linear and quadratic electrochemical strain accurately across grain boundaries with high spatial resolution where the conventional approach fails. The enhanced electrochemical responses point to the accumulation of small polarons in the space charge region at the grain boundaries, thought to be responsible for the enhanced electronic conductivity in nanocrystalline ceria. The spectrum of data can be processed very efficiently by physics-informed principal component analysis (PCA), speeding data processing by several orders of magnitude. This approach can be applied to a variety of AFM modes for studying a wide range of materials and structures on the nanoscale.
机译:基于动态应变的原子力显微镜(AFM)模式往往不能在接口有趣的物理是因为他们的追踪接触共振的无能准确地在粗糙的地形。这个困难,我们开发一个高通量顺序激发AFM能够接触高动态probe-sample交互保真度和效率,获得频谱每个像素的数据的频率范围兴奋的顺序。电化学细粒度的二氧化铈作为例子中,我们地图线性和二次电化学在粮食应变准确与高空间分辨率的边界传统的方法失败。指出电化学响应积累的小极化子空间负责区域在晶界,认为负责加强电子电导率在纳米晶体二氧化铈。光谱数据处理非常有效地通过physics-informed主要成分分析(PCA),加速数据处理了几个数量级。方法可以应用于各种各样的AFM模式为研究和广泛的材料在纳米结构。

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