Adaptive filtering on KPFM data: a deep neural network approach
Kelvin probe force microscopy (KPFM) measurements often exhibit widely varying signal-to-noise ratios (SNR) because of non-ideal acquisition conditions, especially in time-sensitive experiments. Although conventional filters can suppress noise, inappropriate parameter settings may distort quantitative surface-potential...