Robots and AI team up to discover highly selective catalysts

Researchers used a chemical synthesis robot and computationally cost-effective AI model to successfully predict and validate highly selective catalysts. Their results are published in the journal Angewandte Chemie International ...

Predicting calving problems before insemination

A small percentage of cows will experience problems when calving and breeders would like to know which cows are at risk. Using the vast dataset of the Dutch cattle breeding company CRV, computer scientists at the University ...

A single-step water treatment for arsenic decontamination

A team of researchers from Imperial College London led by Prof. Dominik Weiss has been working with Diamond Light Source, the UK's national synchrotron on a new material (TiO2/Fe2O3 nanomaterial) combining photocatalytic ...

A study of stormy Houston switches gears

In weather terms, convection is the process of conveying heat and moisture upward through a turbulent atmosphere. From there, convection forms clouds—mostly puffy, rain-free shallow cumuli. But others evolve into towering ...

Climate simulation more realistic with artificial intelligence

Accurately modeling extreme precipitation events remains a major challenge for climate models. These models predict how the earth's climate may change over the course of decades and even centuries. To improve them especially ...

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