“These physics-informed machine learning models need significantly less data than conventional models to make accurate predictions.” The first technique, Roussel continues, involves a machine learning ...

Theories of how quasiparticles form have been around for more than 80 years, but direct observations of the process have remained elusive due to experimental challenges. A team of researchers at the ...

Uncovering universal physics in the dynamics of a quantum system New experiments with ultra-cold atomic gases shed light on how all interacting quantum systems evolve after a sudden energy influx ...

A pruning reservoir computing technique can mitigate noise and reconstruct nonlinear dynamics for potential engineering and ...

The 2023 Nobel Prize in Physics has been awarded to three researchers for their contributions to attosecond science. The prize honors Pierre Agostini of the Ohio State University, Ferenc Krausz of ...

Researchers uncover ultrafast energy flow in graphene, revealing complex electron-phonon dynamics that challenge classical heat transfer models at the nanoscale.

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 ...