Autonomous mobile robots, or AMRs, can benefit from a phase regulator with two real-time signals, according to a researcher.

Scientists are blending physics-informed AI with supercomputing to model plasma turbulence more accurately and efficiently. These breakthroughs could improve predictions for fusion reactors, ...

In the search for new drugs, artificial intelligence in the form of diffusion models is being used in drug design. What ...

Visualization of particle trajectories in water as turbulence winds down in a specially designed tank. The colors represent ...

The Static Traffic Assignment (STA) model is the most commonly used method for projecting future traffic. Its basic structure treats each road segment as an isolated unit, applies a volume-to-capacity ...

A ball tossed into the air follows a path that classical physics can track with confidence. Shrink that ball down to the size ...

Artificial intelligence (AI) is emerging as a powerful tool to predict food consumption patterns and guide policy decisions, ...

Abstract: Large industrial robots are inexpensive compared to their workspace. Due to flexibility, the positioning accuracy is compromised. This paper presents a simple yet effective static ...

Abstract: This article presents a novel speed-flux transformation model, derived from the traditional active flux model of permanent magnet synchronous motor, which features a known regression term of ...

In his doctoral thesis, Michael Roop develops numerical methods that allow finding physically reliable approximate solutions to nonlinear differential equations used to model turbulence.

Tesla is offering a limited-edition run of the outgoing Model S and Model X, called the Signature Series, starting at around $159,000. The Signature models won’t come cheap. Both the Model S and Model ...