Not long ago, carbon quantum dots (CQDs) came into view as a revolutionary class of
materials, propelling advancements in water remediation and electrochemical technology …

Structural characterization of polymer materials is a major step in the process of creating
complex materials design-structural-property relationships. With growing interests in artificial …

Neuromorphic computing and artificial intelligence hardware generally aims to emulate
features found in biological neural circuit components and to enable the development of …

An important yet challenging aspect of atomistic materials modeling is reconciling
experimental and computational results. Conventional approaches involve generating …

New materials for electrochemical energy storage and conversion are the key to the
electrification and sustainable development of our modern societies. Molecular modelling …

X-ray absorption spectroscopy (XAS) is a commonly employed technique for characterizing
functional materials. In particular, X-ray absorption near edge spectra (XANES) encode local …

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 …

In materials research, structural characterization often requires multiple complementary
techniques to obtain a holistic morphological view of a synthesized material. Depending on …

Crystalline defects, such as line-like dislocations, play an important role for the performance
and reliability of many metallic devices. Their interaction and evolution still poses a multitude …

Recent years have seen a drastic increase in the scientific use of machine learning (ML)
techniques, yet their applications remain limited for many fields. Here, we demonstrate …