Learn more about Particle/High Energy Physics

Matter inside neutron stars can have different forms: a dense liquid of nucleons or a dense liquid of quarks.

Researchers examine the structure of the low-energy nuclear states of carbon-12 using nuclear lattice effective field theory.

Scientists translate predictions of hydrodynamics into experimentally observable particle patterns.

New algorithms allow real-time interactive data processing at 10X previous rates for electron microscopy data.

Neural networks guided by physics are creating new ways to observe the complexities of plasmas.

Simulations of binary neutron star mergers suggest that future detectors will distinguish between different models of hot nuclear matter.

Machine learning methods support human operators in diagnosing and fixing failing subsystems in an accelerator-driven X-ray laser.

Jets of particles in quark-gluon plasma from heavy-ion collisions lose energy via radiation, but how they radiate energy depends on the jet’s structure.

Computation and simulations show that different types of collisions compete to determine the way energy is transferred between particles and plasma waves.