Diffuse soft matter interfaces take many forms, from end-tethered polymer brushes or
adsorbed surfactants to self-assembled layers of lipids. These interfaces play crucial roles …

This paper reviews earlier studies focusing on thickness measurements of thin films less
than one micrometer thick. Thin films are a widely used structure in high-tech industries such …

Machine learning (ML) has received enormous attention in science and beyond. Discussed
here are the status, opportunities, challenges and limitations of ML as applied to X-ray and …

Recently, there has been significant interest in applying machine-learning (ML) techniques
to the automated analysis of X-ray scattering experiments, due to the increasing speed and …

This article aims to provide an overview of broad range of applications of synchrotron
scattering methods in the investigation of nanoscale materials. These scattering techniques …

Neutron reflectometry (NR) allows us to probe into the structure of the surfaces and
interfaces of various materials such as soft matters and magnetic thin films with a contrast …

Understanding the processes of perovskite crystallization is essential for improving the
properties of organic solar cells. In situ real-time grazing-incidence X-ray diffraction (GIXD) is …

Polarized neutron reflectometry is a powerful technique to interrogate the structures of
multilayered magnetic materials with depth sensitivity and nanometer resolution. However …

Neutron reflectometry (NR) is a powerful tool for probing thin films at length scales down to
nanometers. We investigated the use of a neural network to predict a two-layer thin film …

Neutron and x-ray reflectometry (NR and XRR) are powerful techniques to investigate the
structural, morphological and even magnetic properties of solid and liquid thin films. While …