Research Summaries

Perturbing the edge magnetic field of a tokamak produces a counterintuitive response: particles entering the confined region rather than escaping it.

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.

Laser-based additive manufacturing produces high-entropy alloys that are stronger and less likely to fracture.

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.