forthcoming articles

Structural and magnetic ordering in ferrofluid, consisting of hard magnetic SrFeO nanoplatelets is studied by polarized SANS in magnetic field up to 1000 Oe. It reveals consecutive and reversible transitions of isotropically disordered phase at H 20 Oe into 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.

Powder diffraction is used to reveal X-ray-induced hydride formation in palladium nanowires in a gaseous hydrogen environment.

The purpose of this study was to develop a novel machine learning (ML)-integrated framework for predicting the crystallization kinetics of amorphous drugs doped with low-concentration polymer. Several critical features influencing crystallization of amorphous solid dispersions (ASD) were identified, encompassing API-related molecular descriptors and polymer-specific properties.

NeuDiff 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.

X-ray reflectometry is accelerated to 213 µs net exposure time using galvanometer scanning, which enables unprecedented temporal resolution for studying dynamic thin-film processes.

This work provides a unified crystallographic description of the complete series of rare earth nitrate hydrates [RE(NO₃)₃(H₂O)_n]·xH₂O (RE = La–Lu, Y) and their aqueous solutions, revealing five distinct structure types, quantitative manifestations of the tetrad and double–double effects via interatomic distances and electronegativity correlations, subtle non-covalent RE⋯N interactions via stereoatomic (G₃) and Voronoi–Dirichlet analyses, and a transition to preferred monodentate nitrate coordination from Ho onward rationalized by density functional theory. These 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.

Pair distance distribution functions of interacting ellipsoidal particles can be hard to interpret. This difficulty can be circumvented partially by the generalized indirect Fourier transformation.

We 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.

This 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.

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 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.