Fast scanning probe microscopy enabled via machine learning allows for a broad range of
nanoscale, temporally resolved physics to be uncovered. However, such examples for …

Unraveling local dynamic charge processes is vital for progress in diverse fields, from
microelectronics to energy storage. This relies on the ability to map charge carrier motion …

Coordinate measuring machines are widely used in the precision measurement of
manufacturing workpieces. However, the nature of a point-by-point probing characteristic …

Real-time tracking of dynamic nanoscale processes such as phase transitions by scanning
probe microscopy is a challenging task, typically requiring extensive and laborious human …

Nano-Fourier transform infrared (FTIR) imaging is a powerful scanning-based technique at
nanometer spatial resolution that combines FTIR spectroscopy and scattering-type scanning …

The polyester industry is a complex process industry, building a time series prediction model
for new production lines or equipment with new sensors can be challenging due to a lack of …

Surface profilometers are indispensable for the measurements on precise machining and
optical manufacturing industries. However, to acquire accurate surface topography, existing …

We introduce an advanced feature-correlation approach for evaluating the accuracy of data
completion in scanning probe microscopy (SPM). Our method utilizes characteristic patterns …

Measurement of atoms and molecules on surfaces is very important in the development of
nanodevices and nanomaterials. Scanning probe microscopy (SPM) is a powerful method …

A major drawback of scanning probe microscopes (SPMs) is the time-consuming image
acquisition, typically on the order of tens of seconds to minutes. Sparse raster scanning and …