Using sunlight to power CO2 conversion into value-added chemicals and fuels is a
promising technology to use anthropogenic CO2 emissions for alleviating our dependence …

Electrocatalysts and photocatalysts are key to a sustainable future, generating clean fuels,
reducing the impact of global warming, and providing solutions to environmental pollution …

Deep learning (DL) is one of the fastest-growing topics in materials data science, with
rapidly emerging applications spanning atomistic, image-based, spectral, and textual data …

Closed-loop, autonomous experimentation enables accelerated and material-efficient
exploration of large reaction spaces without the need for user intervention. However …

Materials for extreme environments can help to protect people, structures and the planet.
Extreme temperatures in aeroplane engines, hypervelocity micrometeoroid impacts on …

Breakthroughs in molecular and materials discovery require meaningful outliers to be
identified in existing trends. As knowledge accumulates, the inherent bias of human intuition …

The exciting advancements in 3D-printing of soft materials are changing the landscape of
materials development and fabrication. Among various 3D-printers that are designed for soft …

Active learning and automation will not easily liberate humans from laboratory workflows.
Before they can really impact materials research, artificial intelligence systems will need to …

The ever-increasing demand for novel materials with superior properties inspires retrofitting
traditional research paradigms in the era of artificial intelligence and automation. An …

Over the past few years, the adoption of machine learning (ML) techniques has rapidly
expanded across many fields of research including formulation science. At the same time …