In the last few years, electron microscopy has experienced a new methodological paradigm
aimed to fix the bottlenecks and overcome the challenges of its analytical workflow. Machine …

Recent progress in machine learning methods and the emerging availability of
programmable interfaces for scanning probe microscopes (SPMs) have propelled …

The ability to perform nanometer‐scale optical imaging and spectroscopy is key to
deciphering the low‐energy effects in quantum materials, as well as vibrational fingerprints …

Individual atomic defects in 2D materials impact their macroscopic functionality. Correlating
the interplay is challenging, however, intelligent hyperspectral scanning tunneling …

Building nanostructures one-by-one requires precise control of single molecules over many
manipulation steps. The ideal scenario for machine learning algorithms is complex …

Atomic-scale manufacturing of carbon-based quantum materials with single-bond precision
holds immense potential in advancing tailor-made quantum materials with unconventional …

Scanning probe microscopy (SPM) has revolutionized our ability to explore the nanoscale
world, enabling the imaging, manipulation, and characterization of materials at the atomic …

Despite the success of noncontact atomic force microscopy (AFM) in providing atomic-scale
insight into the structure and properties of matter on surfaces, the wider applicability of the …

Abstract The Probe-Particle Model combine theories designed for the simulation of scanning
probe microscopy experiments, employing non-reactive, flexible tip apices to achieve sub …

Due to its single-molecule sensitivity, high-resolution atomic force microscopy (HR-AFM) has
proved to be a valuable and uniquely advantageous tool to study complex molecular …