The development of new catalyst materials for energy-efficient chemical synthesis is critical
as over 80% of industrial processes rely on catalysts, with many of the most energy-intensive …

Advances in machine learning (ML) provide the means to bypass bottlenecks in the
discovery of new electrocatalysts using traditional approaches. In this review, we highlight …

Develo** highly efficient catalytic sites for O2 reduction to H2O2, while ensuring the fast
injection of energetic electrons into these sites, is crucial for artificial H2O2 photosynthesis …

Despite numerous tutorials and standards written to the technical community on X-ray
photoelectron spectroscopy (XPS), difficulties with data acquisition, analysis, and reporting …

Neutron and x-ray scattering represent two classes of state-of-the-art materials
characterization techniques that measure materials structural and dynamical properties with …

Short-range order (SRO) is a critical driver of properties (eg, corrosion resistance and tensile
strength) in multicomponent alloys such as complex concentrated alloys (CCAs). Extended …

X-ray absorption spectroscopy (XAS)[extended X-ray absorption fine structure (EXAFS) and
X-ray absorption near-edge structure (XANES)] is a key technique within the heterogeneous …

We report a comprehensive computational study of unsupervised machine learning for
extraction of chemically relevant information in X-ray absorption near edge structure …

Synchrotron radiation technology provides high-resolution and high-sensitivity information
for many fields such as material science, life science, and energy research. Synchrotron …

Rare earth (III) β-diketonates are highly remarkable luminophores in the visible spectral
region among the rare earth compounds, owing to the efficient contribution from the 4f–4f …