As semiconductor technologies advance, device structures are becoming increasingly complex. New materials and architectures introduce intricate physical effects requiring accurate modeling to ensure ...

A machine learning-powered simulation is giving researchers a new window into the processes that create some of the universe’s heaviest elements.

Using a novel simulation model based on machine learning, an international research team at GSI/FAIR has succeeded in gaining a deeper understanding of element formation in stellar events such as ...

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...

The biopharmaceutical industry is rapidly moving from empirical, trial and error process development toward digitalized and ...

It feels like there’s no escaping AI right now, whether you’re trying to type a sentence without being interrupted by a ...

Some of the universe’s heaviest elements are born in chaos, in matter flung outward when neutron stars collide or massive ...

Using a novel simulation model based on machine learning, an international research team at GSI/FAIR has succeeded in gaining a deeper understanding of element formation in stellar events such as ...

Researchers combined low-temperature plasma processing with machine learning to synthesize and etch 6-inch MoS2 and WS2 ...

A machine learning model developed by researchers at the Johns Hopkins Kimmel Cancer Center filters out the biological noise ...