Abstract Machine learning and artificial intelligence (ML/AI) are rapidly becoming an
indispensable part of physics research, with applications ranging from theory and materials …

The manipulation of individual atoms has developed from visionary speculation into an
established experimental science. Using focused electron irradiation in a scanning …

Substituting heteroatoms into graphene can tune its properties for applications ranging from
catalysis to spintronics. The further recent discovery that covalent impurities in graphene can …

Two-dimensional (2D) gallium selenide (GaSe) is known for its inert surface and wide
bandgap, limiting its application as a photocatalytic material for the hydrogen evolution …

This paper depicts nuances of atomistic level characterization of (Fe, Cr) 2 B crystal in a high
B containing P91 steel using probe aberration-corrected Scanning Transmission Electron …

Nitrogen-vacancy (NV) centers in nanodiamonds are a promising quantum communication
system offering robust and discrete single photon emission, but a more thorough …

Single phase, polycrystalline perovskite oxide SrVO3, with its intrinsic low effective work
function and facile synthesis process, is a promising thermionic electron emitter cathode …

A single-layer of GaSe is widely regarded as one of the most promising photocatalysts for a
solar-driven water-splitting reaction. However, its catalytic performance is limited by the high …

This article investigates the operational principles, characteristics, and applications of single-
photon detectors (SPD), highlighting their significance in light detection technologies. SPD …

We introduce a machine learning approach to determine the transition rates of silicon atoms
on a single layer of carbon atoms, when stimulated by the electron beam of a scanning …