Proton exchange membrane fuel cells (PEMFCs) with high efficiency and nonpollution
characteristics have attracted massive attention from both academic and industrial …

Deep learning is transforming most areas of science and technology, including electron
microscopy. This review paper offers a practical perspective aimed at developers with …

An efficient model-based estimation algorithm is introduced to quantify the atomic column
positions and intensities from atomic resolution (scanning) transmission electron microscopy …

It is a formidable challenge to use the traditional trial-and-error method to identify suitable
catalysts for the photocatalytic degradation of volatile organic compounds (VOCs). In this …

The production of upconverting nanostructures with tailored optical properties is of major
technological interest, and rapid progress toward the realization of such production has …

Proton-exchange-membrane fuel cells (PEMFCs) are one type of promising energy device
with clean and high efficiency characteristics. The sluggish kinetic characteristics of cathode …

Simulation of atomic-resolution image formation in scanning transmission electron
microscopy can require significant computation times using traditional methods. A recently …

Anisotropic bimetallic nanoparticles are promising candidates for plasmonic and catalytic
applications. Their catalytic performance and plasmonic properties are closely linked to the …

Interfacial segregation is ubiquitous in mulit-component polycrystalline materials and plays a
decisive role in material properties. So far, the discovered solute segregation patterns at …

Quantitative structure determination is needed in order to study and understand
nanomaterials at the atomic scale. Materials characterisation resulting in precise structural …