Modeling the diffusion of oxygen into accelerator cavities allows scientists to tailor their properties.
An enhanced topographic analysis toolkit for forecasting and improving particle accelerator performance is helping scientists build better accelerators.
An enhanced topographic analysis toolkit for forecasting and improving particle accelerator performance is helping scientists build better accelerators.
Nuclear physicists shatter a nearly 30-year-old record for the measurement of parallel spin within an electron beam.
New insights reveal details of how strange matter forms.
Nuclear physicists have found the location of matter inside the proton that comes from the strong force - a fundamental force that holds protons together.
A new system for detecting photons in laser-powered quantum computers brings these systems closer to reality.
Theorists predict differential distribution of 'up' and 'down' quarks within protons—and differential contributions to the proton's properties.
Nuclear physicists test whether next generation artificial intelligence and machine learning tools can process experimental data in real time.
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.
New measurements show the proton’s electromagnetic structure deviates from theoretical predictions.
