issue contents
August 2026 issue
Early view articles
research papers
Open
access
accessThis work demonstrates that diffraction-based residual strain calculations and uncertainty estimates depend on how grain populations are sub-sampled, with important implications for interpreting residual stresses in heterogeneous materials with fine-scale microstructure and strain gradients.
Open
access
accessPowder diffraction is used to reveal X-ray-induced hydride formation in palladium nanowires in a gaseous hydrogen environment.
This work provides a unified crystallographic description of a series of rare-earth nitrate hydrates, [RE(NO3)3(H2O)n]·xH2O (RE = La–Lu, Y), and their aqueous solutions. The findings integrate X-ray diffraction, EXAFS, topological descriptors and computational modelling to offer transferable methodologies for interpreting structural anomalies in coordination compounds and precursors for functional materials.
Open
access
accessPair distance distribution functions of interacting ellipsoidal particles can be hard to interpret. This difficulty can be circumvented partially by the generalized indirect Fourier transformation.
A full-profile quantitative X-ray phase analysis method is developed for mixtures of low-temperature aluminium oxides and pseudoboehmite, combining experimental and calculated (via the Debye scattering equation) reference profiles. The approach provides high accuracy for model γ-Al2O3/χ-Al2O3 and γ-Al2O3/AlOOH mixtures and is applicable to complex nanocrystalline oxide and catalyst systems with poorly described diffraction patterns.
This study investigates the impact of correlated Ruddlesden–Popper faults on the diffraction patterns of tetragonal A2BO4-type structures, using Sr2TiO4 as a representative example. Simulations demonstrate that these correlations give rise to distinctive diffraction features – including intensity redistribution, anisotropic peak broadening and diffuse scattering – that distinguish coherent intergrowths of Sr2TiO4 and Sr3Ti2O7 from conventional two-phase systems.
The purpose of this study was to develop a novel machine learning integrated framework for predicting the crystallization kinetics of amorphous drugs doped with low-concentration polymer. Several critical features influencing crystallization of amorphous solid dispersions were identified, encompassing active pharmaceutical ingredient related molecular descriptors and polymer-specific properties.
Download citation
Download citation
The structure and composition of metastable (N×H)-polytypes, N ∈ {3, 4, 5, 6, 7}, belonging to the family of La2WO6-related tungstates, are revealed by means of a La–O–W ternary convex hull construction based on density functional theory.
A non-iterative analytical framework based on truncated Abel inversion is developed for desmearing slit-geometry ultra-small-angle neutron scattering data. The method directly relates measured and intrinsic intensities without iterative or empirical corrections, and achieves accurate and stable recovery of scattering profiles. Application to polymer-blend data demonstrates smooth continuity with small-angle neutron scattering measurements, enabling rigorous and model-independent data integration.
A systematic study of bent Si(111) analyser crystals evaluates the effects of growth method, surface treatment and thickness on neutron reflection performance. The results identify optimal crystal characteristics for future high-resolution neutron backscattering spectrometers, including MIRACLES at the European Spallation Source.
Open
access
accessNeuDiff Agent accelerates the TOPAZ single-crystal neutron diffraction workflow at the Spallation Neutron Source from measured data to a structure suitable for publication through governed tool execution, auditable provenance and checkCIF assessment.
Open
access
accessX-ray reflectometry is accelerated to 213 µs net exposure time using galvanometer scanning, which enables unprecedented temporal resolution for studying dynamic thin-film processes.
Open
access
accessThis study emphasizes the physical interpretation of Stephens' phenomenological parameters with respect to the nature of dislocations in cubic symmetry, validated through illustrative examples based on modified Williamson–Hall plot analysis.
Structural and magnetic ordering in a ferrofluid consisting of hard magnetic SrFe12O19 nanoplatelets is studied by polarized small-angle neutron scattering in magnetic fields up to 1000 Oe. The results reveal consecutive and reversible transitions of the isotropically disordered phase existing at H < 20 Oe into a 1D-nematic columnar structure at 20 < H < 250 Oe, followed by rearrangement to smectic-like lateral ordering with collinear magnetization in neighboring columns above H = 250 Oe.
Open
access
accessA quantitative comparison between pink-beam and monochromatic dark-field X-ray microscopy (DFXM) shows that pink-beam DFXM offers up to two orders of magnitude higher flux and improved signal-to-noise ratio for time-resolved imaging, at the expense of an approximately tenfold loss in angular resolution. The results establish performance criteria and experimental strategies for optimizing pink-beam DFXM in studies of microstructure and strain evolution in crystalline materials.
In situ small-angle X-ray scattering (SAXS) and powder X-ray diffraction (XRD) studies, combined with density functional theory (DFT), are used to gain new insights into the variable structure and ordering of a 1-D coordination polymer under different gas pressure conditions. It is demonstrated how DFT calculations can elucidate SAXS and XRD studies of variable or uncertain structures when unambiguous single-crystal XRD determinations cannot be fully realized.
MATERIALS | COMPUTATION
Open
access
accessWe present a model-independent approach based on the Shannon sampling theorem to retrieve key structural parameters of proteins and core–shell micelles directly from small-angle X-ray scattering (SAXS) profiles. By bypassing the pair distribution function, the method overcomes q-truncation artifacts and provides reliable mass, size and aggregation number estimates even from noisy laboratory data. This formalism enables fast, robust and high-throughput analysis for both in situ and operando experiments.

journal menu









