In this tutorial, we explore the capabilities of the pymatgen library for computational materials science using Python. We begin by constructing crystal structures such as silicon, sodium chloride, ...

In this paper, Fraunhofer diffraction patterns generated by square and circular annular apertures are studied. The annular region is defined as the difference between two concentric areas of equal ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Crystal structure determination from powder diffraction patterns is a complex ...

Machine learning (ML) methods have shown potential in automating the processing of electron diffraction patterns (DPs). However, challenges exist when dealing with high-throughput experiments ...

Structural characterization is crucial to understanding protein function. Compared with X-ray diffraction methods, electron crystallography can be performed on nanometer-sized crystals and can provide ...

Flexible, and easy-to-use Python diffraction simulator that focuses on visualizing physical optics phenomena. The simulator uses mainly scalar diffraction techniques for light propagation, provides a ...

Fluorescence-lifetime single molecule localization microscopy (FL-SMLM) adds the lifetime dimension to the spatial super-resolution provided by SMLM. Independent of intensity and spectrum, this ...

Since the origins of Neuroscience, the development of new techniques for cell visualization, such as the Golgi method, has contributed to revealing the beauty of the central nervous system. Recently, ...

The structural link between meter-long DNA molecules and chromosomes a few microns in size and their highly space-effective and fault-free packing and unpacking mechanisms remain a puzzle. This ...