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, ...

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

People are dealing now with geopolitical risks at a level that they haven't in a while,” says Sarah Kapnick, J.P. Morgan’s global head of climate advisory. “And, like geo ...

Background The tumour–stroma ratio (TSR) is a potential prognostic indicator, yet hindered by quantification challenges and conflicting reports. Objective To determine whether TSR follows a non-linear ...

audio/ includes all sound examples for the datasets used in the paper. Some of these sound examples are presented on the accompanying web-page. cfg/ includes configuration files for experiments. src/ ...