An agentic AI tool for battery researchers harnesses data from previous battery designs to predict the cycle life of new ...

Parisa Khodabakhshi is an assistant professor of mechanical engineering and mechanics in Lehigh University’s P.C. Rossin College of Engineering and Applied Science. Prior to joining the Lehigh faculty ...

Plasma mirrors capable of withstanding the intensity of powerful lasers are being designed through an emerging machine ...

Artificial intelligence has moved from crunching physics data in the background to actively proposing new theories and ...

Machine learning models are being used more and more widely. However, they need a lot of training data to deliver good results. In industrial applications, this wealth of data is often not available ...

A case study in aerospace manufacturing provides an overview of how physics-informed digital twin systems transform robotics processes—from adaptive process planning and real-time process monitoring ...

Researchers at University of Jyväskylä (Finland) advance understanding of gold nanocluster behavior at elevated temperatures ...

Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...

For decades, scientists have relied on structure to understand protein function. Tools like AlphaFold have revolutionized how researchers predict and design folded proteins, allowing for new ...