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

As three-dimensional integrated circuit (3D-IC) technology becomes the architectural backbone of AI, high-performance computing (HPC), and advanced edge systems, thermal management has shifted from a ...

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 ...

Scientists have developed a multi-physics thermal model for panels with a natural convection cooling loop and tested it against experimental data. They have also experimented with varying the coolant ...

Driven by Moore’s Law and modern, ubiquitous computation power demand, the market will continue to demand higher chip performance. Therefore, modern chips with ever-higher power densities present ...

Part one of this series, published in the January 2007 issue, discussed how to use linear superposition in the steady-state analysis of multiple heat-source systems. However, linear superposition also ...

Manage thermal challenges in compact, power-dense electronics using multiphysics simulation. Learn to predict heat transfer, ...

Thermal management has long been a key challenge facing design engineers. For decades, engineers have faced trying to dissipate heat from densely packed electronics that have continued to shrink in ...

Scientists in Morocco have conceived an experimental–numerical model to quantify how fly ash soiling affects photovoltaic (PV) modules, capturing both optical losses and thermal effects. Their ...

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