Machine learning (ML) is believed to have enabled a paradigm shift in materials research,
and in practice, ML has demonstrated its power in speeding up the cost-efficient discovery of …

Ceramic membranes, well-known for their high stability and resistance, are crucial in water
filtration and treatment applications. However, they encounter challenges related to …

Ferroelectricity enables key modern technologies from non-volatile memory to precision
ultrasound. The first known wurtzite ferroelectric Al1− xScxN has recently attracted attention …

Photoelectrochemical fuel generation is a promising route to sustainable liquid fuels
produced from water and captured carbon dioxide with sunlight as the energy input …

Solubility is crucial for redox flow batteries because it affects their energy density. A data-
driven approach based on artificial intelligence/machine learning models can accelerate the …

Nitride perovskites have only been experimentally realized in very few cases despite the
widespread existence and commercial importance of perovskite materials. From oxide …

The development of new functional materials is crucial for addressing global challenges
such as clean energy or the discovery of new drugs and antibiotics. Functional material …

Barium tin sulfide (Ba–Sn–S) is a ternary phase space with interesting material candidates
for optoelectronic and thermoelectric applications, yet its properties have not been explored …

Modern materials science research problems present a challenge to data science and
analytics as experiments generate Petabyte-scale spatiotemporal datasets that span a …

Automated experimentation methods are unlocking a new data-rich research paradigm in
materials science that promises to accelerate the pace of materials discovery. However, if …