forthcoming articles

Machine learning-informed scattering correlation analysis extracts polydispersity and microscopic rearrangements from scattering data, enabling precise insights into dynamic processes in colloidal dispersions

The role of hydrostatic pressure on the structure and dynamics of concentrated silica-PNIPAm nanogels reveals similar characteristics found in temperature-induced phase transitions. In contrast it is characterized by significant aging in glass and gel samples which is absent in the liquid state.

We critically examine mathematical tools to invert the orientation distribution of flowing elongated objects from anisotropic small angle scattering data. This evaluation aims to advance understanding of the interplay between flow dynamics and object orientation, benefiting fluid dynamics and materials science.

The split-type structure of double-layer heaters can significantly reduce production costs and mitigate dependence on imports, garnering widespread attention in the crystal production industry. This article explores the relationship between gap design and melt flow, in order to provide the currently lacking theoretical basis for the design of double-layer heaters

The electron density distribution along the lamellar normal in a block copolymer, as determined by SAXS, reveals segmental densification at the domain interface. This interfacial densification is attributed to the negative mixing volume in the segmental mixture of the constituent blocks, a distinct characteristic of block copolymers exhibiting lower critical ordering transition or hourglass phase behavior.

Experimental and simulated dark-field X-ray microscopy (DFXM) images of isolated dislocations in bulk single-crystal aluminium were combined to identify the Burgers vector, slip plane and line direction of the dislocations. Burgers vector identification missed only the sign, and line direction was determined with an error of less than 10°, sufficient for most applications.

The behavior of römerite, Fe²⁺Fe³⁺₂(SO₄)₄(H₂O)₁₄, was examined by utilizing in situ single-crystal and powder X-ray diffraction while simultaneously acquiring data upon heating. Römerite is stable under low-vacuum conditions and exhibits a significant negative thermal expansion in the α₃₃ direction throughout the entire temperature range from −173°C to 77°C and on up to decomposition.

A novel forward-model-based reconstruction method has been developed for diffraction contrast tomography and has shown great promise in increasing the tolerance of this technique for increased sample deformation. This method is suitable for multi-phase reconstruction under both box-beam and line-beam acquisition geometries and can reconstruct intragranular misorientations well.

A simple protocol for transferring highly moisture-sensitive compounds into a transmission electron microscope for 3D electron diffraction measurements is described, with xenon fluorides as a test case. By maintaining an inert moisture-free environment throughout the transfer step, the integrity of the samples is preserved, thereby rendering the technique applicable to the study of other reactive or strongly oxidizing compounds.

Here, we determine optimal weights and priors when simultaneously fitting small-angle X-ray and neutron scattering data.

A web-based labeling pipeline is introduced that accelerates the annotation of large scientific data sets with artificial intelligence (AI) guided tagging techniques.

The novel linearization routines within the parameter space concept (PSC) provide an alternative approach to determine one-dimensionally projected crystal structures from rather few diffraction intensities of standard Bragg reflections, represented by piecewise analytic hyper-surfaces, without the use of Fourier inversion. By the intersection of linearized isosurface segments of multiple reflections, the PSC accurately pinpoints the atomic coordinates and explores both homometric and quasi-homometric solutions in a single analysis.