This technical FAQ discusses how AI thermal models compare to physics-based approaches and which deep learning architectures ...

Controlling heat flow is a major challenge for many technologies. In electronic and photonic devices, for example, heat ...

Spread the loveThe landscape of scientific inquiry is constantly evolving, and recent advancements in reverse thermal diffusion are reshaping our understanding of material sciences. Researchers have ...

Clearer picture: illustration of a HADAR image of a tree made by combining thermal physics, infrared imaging and machine learning. (Courtesy: Purdue University) A thermal imaging system that uses ...

The increasing penetration of renewable energy sources, such as wind and solar power, has intensified the demand for flexibility in modern energy systems.

To keep pace with modern design cycles and more complex hardware, the role of physics in the workflow must change.