Atomic force microscopy (AFM) is a fundamental tool for nanotechnology, enabling atomic-scale surface characterization. However, its precision and speed are often limited by the nonlinear behavior of piezoelectric actuators, which are essential for probe positioning. These actuators exhibit hysteresis and creep, phenomena that distort the relationship between applied voltage and resulting displacement, compromising image fidelity and measurement accuracy.

Researchers have developed a feedforward compensation technique to mitigate these nonlinear effects. The method involves predicting and correcting piezoactuator distortions in real time, based on an inverse model of its behavior. This strategy allows for high-precision probe positioning even at high scanning speeds, overcoming the limitations of traditional feedback control systems, which often introduce delays and oscillations at high frequencies.

The implementation of this technique has demonstrated a significant improvement in AFM image quality, enabling faster and more reliable characterization of nanostructures. This advance is crucial for fields such as materials science, molecular biology, and nanoscale device manufacturing, where spatial and temporal resolution are critical. The ability to operate AFM at higher speeds without sacrificing precision opens new avenues for studying dynamic phenomena at the nanoscale and for optimizing nanofabrication processes.