
A Trial Run for Smart Streaming Readouts
Nuclear physicists test whether next generation artificial intelligence and machine learning tools can process experimental data in real time.
Nuclear physicists test whether next generation artificial intelligence and machine learning tools can process experimental data in real time.
New results could significantly improve resonance ionization mass spectrometry ultra-trace analysis of plutonium isotopes.
Particles choose partners for short-range correlations differently when farther apart in light nuclei versus when packed closer together in heavy nuclei.
As machine learning tools gain momentum, a review of machine learning projects reveals these tools are already in use throughout nuclear physics.
The results of parity-violating electron scattering experiments PREX and CREX suggest a disagreement with global nuclear models.
A theoretical analysis of recent findings in neutron star research suggests the possibility of a phase transition in these stars’ interiors.
New measurements show the proton’s electromagnetic structure deviates from theoretical predictions.
Deblurring, practiced in optics, can reveal three-dimensional features of nuclear collisions.
Nuclear physicists find that the internal structures of protons and neutrons may be altered in different ways inside nuclei.
A first-of-its-kind measurement of the rare calcium-48 nucleus found a neutron-rich “thin skin” around a core of more evenly distributed protons and neutrons.
Colliding gold nuclei at various energies enables scientists to investigate phases of nuclear matter and their possible co-existence at a critical point.
Predictions for future measurements at the Electron-Ion Collider may help solve ‘proton spin’ mystery.
Signup for the Office of Science’s GovDelivery email service, and check the box for the Nuclear Physics Program in your subscriber preferences.