Thermoelectric (TE) materials can directly convert heat to electricity and vice versa and have
broad application potential for solid-state power generation and refrigeration. Over the past …

Topological superconductors (TSCs) have garnered significant research and industry
attention in the past two decades. By hosting Majorana bound states which can be used as …

The quantum anomalous Hall effect refers to the quantization of the Hall effect in the
absence of an applied magnetic field. The quantum anomalous Hall effect is of topological …

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 …

An approach is presented for analysis of real-time X-ray reflectivity (XRR) process data not
just as a function of the magnitude of the reciprocal-space vector q, as is commonly done …

The Python package mlreflect is demonstrated, which implements an optimized pipeline for
the automated analysis of reflectometry data using machine learning. The package …

A review of the applications of polarized neutron reflectometry (PNR) for the investigation of
quantum materials is provided. Recent studies of superconductors, strongly correlated …

Thermoelectric materials play a pivotal role in harnessing waste heat and converting it into
valuable electrical energy, addressing energy sustainability challenges. This study …

Neutron reflectometry has long been a powerful tool to study the interfacial properties of
energy materials. Recently, time-resolved neutron reflectometry has been used to better …

Combining topological insulators (TIs) and magnetic materials in heterostructures is crucial
for advancing spin‐based electronics. Magnetic insulators (MIs) can be deposited on TIs …