A convenient data structure for the nearest-neighbor problem is discussed.

The ternary compounds Nb_0.92(1)NiAs, NbCoAs, and NbNiGe were synthesized serendipitously by reactions employing mixtures of alkali metal, Co, Ni, As, and Ge, which were carried out at high temperatures in sealed Nb containers.

Bragg Spot Finder (BSF) is a U-Net-based spotfinder with image preprocessing, a U-Net segmentation backbone, and post-processing that includes artifact removal and watershed segmentation. BSF is supported by the Bragg Spot Detection (BSD) benchmark image dataset containing more than 300 images with more than 66 000 spots.

Dislocation densities of Zircaloy-2 tensile samples are measured using two diffraction-based techniques. The relative sensitivities of the techniques to dislocations produced during cold work are compared.

Unit cells are used to represent crystallographic lattices. Calculations measuring the differences between unit cells are used to provide metrics for measuring meaningful distances between three-dimensional crystallographic lattices. This is a surprisingly complex and computationally demanding problem. A review is presented of the current best practice using Delaunay-reduced unit cells in the six-dimensional real space of Selling scalar cells S⁶ and the equivalent three-dimensional complex space C³.

This article provides a unifying description of the diffraction and signal acquisition geometries of a 3D Bragg coherent diffraction imaging (BCDI) measurement, obtained from fundamental considerations of Fourier-conjugate spaces. Rigorously derived and presented in a compact operator notation, this approach can be easily generalized to any set of BCDI degrees of freedom.

New phase-retrieval methods to directly invert Bragg coherent diffraction imaging data on an orthogonal grid under even and uneven signal sampling conditions are described.

Phase-contrast enhanced micro-computed tomography reveals huge discontinuities at the interfaces between dental fillings and the tooth substrate. Despite the complex micromorphology, gaps in bonding could be visualized and quantified in 3D.

A number of machine-learning-based algorithms are presented for the reconstruction of gaps in experimental X-ray scattering images through inpainting approaches.

In this study, we introduce TomoPyUI, a user-friendly interface for the TomoPy tomography data processing package, designed to streamline and enhance the management of synchrotron and neutron computed tomography data. TomoPyUI, operating within a Jupyter environment, incorporates GPU-accelerated algorithms and a structured data management system, significantly reducing computation times and improving workflow efficiency in the tomography processing pipeline.