Global climate models capture many of the processes that shape Earth's weather and climate. Based on physics, chemistry, ...

Keysight Technologies has released the new Machine Learning Toolkit in the latest Keysight Device Modelling Software Suite.

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

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

High-power lasers are promising tools for developing new solutions for healthcare, manufacturing and nuclear fusion. However, says the Strathclyde group, “these are becoming large and expensive owing ...

Electrocatalysis sits at the heart of clean hydrogen production, fuel cells, and carbon dioxide conversion, yet progress ...

New AI model decodes brain signals captured noninvasively via EEG opens the possibility of developing future neuroprosthetics ...

AI is searching particle colliders for the unexpected ...

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

Pre-built implicit layer architectures with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods ...

According to Lehigh University, an NSF-funded project led by researcher Parisa Khodabakhshi aims to streamline machine learning models that incorporate physical laws, facilitating alloy design for ...

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 ...