An international group of researchers have investigated the role of memory in quantum systems and dynamics. Their findings ...

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 ...

Analogue interaction Illustration of how an impurity atom may gradually evolve into a quasiparticle by interacting with a surrounding medium. This mechanism is similar to how an electron can distort a ...

BUFFALO, N.Y. — Imagine zooming into matter at the quantum scale, where tiny particles can interact in more than a trillion configurations at once. If that sounds complicated, it is: Physicists often ...

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 ...

Computational fluid dynamics (CFD) is a branch of physics that utilizes numerical methods and algorithms to analyze and predict the behavior of fluids and gases under various conditions. This field ...

Power functional theory is a new approach that makes it possible to describe precisely the dynamics of many-particle systems over time. Physicists at the University of Bayreuth are among the ...