Fainite is developing a physics-aware AI platform to accelerate simulation workflows, reduce engineering complexity and ...

Researchers created scalable quantum circuits capable of simulating fundamental nuclear physics on more than 100 qubits. These circuits efficiently prepare complex initial states that classical ...

Statistical insights into machine learning analysis can help researchers evaluate model performance and may even provide new ...

A machine-learning AI can solve physics problems by simplifying them to be more symmetric. “There are many, many cases in the history of science where people thought things were more complicated than ...

It is an underappreciated irony that talking about complex systems is difficult. “There is no clear definition of complex systems,” says Kunihiko Kaneko, a physicist at the University of Tokyo. “But ...

As validation cycles tighten, engineers are revisiting how warpage and stress are simulated across complex assemblies and ...

With the economics of transistor scaling no longer universally applicable, the industry is turning to innovative packaging technologies to support system scaling demands and achieve lower system cost.

Explore work and energy concepts with a real-world example: a crashing car analysis! In this physics tutorial, we break down kinetic energy, work done, and energy transfer during a collision. Using ...