论文标题
电化学活性铁电材料的接触kelvin探针显微镜的超分辨率和信号分离
Super-resolution and signal separation in contact Kelvin probe force microscopy of electrochemically active ferroelectric materials
论文作者
论文摘要
通过基于信息理论的方法探索了接触kelvin探针显微镜（CKPFM）中的成像机制。高斯工艺用于在CKPFM信号中实现超分辨率，从而有效地跨空间和参数空间推断。应用张量矩阵分解以将多维信号降低到标量函数的张量卷积，这些响应显示了与成像参数显示清晰的趋势行为。这些方法为分析多维数据集建立了工作流程，然后可以与相关的物理机制有关。我们还提供了一个互动的Google Colab笔记本（http://bit.ly/39kmtur），该笔记本涉及本文中讨论的所有分析。
Imaging mechanisms in contact Kelvin Probe Force Microscopy (cKPFM) are explored via information theory-based methods. Gaussian Processes are used to achieve super-resolution in the cKPFM signal, effectively extrapolating across the spatial and parameter space. Tensor matrix factorization is applied to reduce the multidimensional signal to the tensor convolution of the scalar functions that show clear trending behavior with the imaging parameters. These methods establish a workflow for the analysis of the multidimensional data sets, that can then be related to the relevant physical mechanisms. We also provide an interactive Google Colab notebook (http://bit.ly/39kMtuR) that goes through all the analysis discussed in the paper.
