Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has ...

In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of ...

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 ...

Iambic Therapeutics, a San Diego–based start-up that harnesses physics and artificial intelligence for drug discovery, is ...

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

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 ...

Understanding and predicting complex physical systems remain significant challenges in scientific research and engineering. Machine learning models, while powerful, often fail to follow the ...

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 ...