A new study has uncovered the universal dynamics far from equilibrium in randomly interacting spin models, thereby complementing the well-established universality in low-energy equilibrium physics.

Shaping up: A new machine learning algorithm helps physicists reconstruct the shapes of particle accelerator beams from tiny amounts of training data. (Courtesy: Greg Steward/SLAC National Accelerator ...

Many systems obey simple, linear rules: If you pull twice as hard on a spring, it stretches twice as far. However, when we introduce very large forces or complicated interactions, that linear rule ...

In Drexel University’s physics department, faculty and students work side-by-side to explore the span of universal phenomena – from biophysics to astrophysics and cosmology, all the way down to the ...

This paper presents a physics-informed neural network (PINN) approach for monitoring the health of diesel engines. The aim is to evaluate the engine dynamics, identify unknown parameters in a “mean ...