A Novel Way to Get to the Excited States of Exotic Nuclei
Scientists find a new approach to access unusual excited nuclear levels.
Scientists find a new approach to access unusual excited nuclear levels.
Researchers use particle-resolved model simulations to quantify errors in simulations’ simplified optical properties.
The MINERvA experiment in the NuMI beam at Fermilab has made the first accurate image of the proton using neutrinos instead of light as the probe.
Experiment shows that even large, old, and presumably stable stores of soil carbon are vulnerable to warming and could amplify climate change.
Understanding how methanogenic bacteria can “bio-mine” minerals advances biotechnology and helps scientists understand the Earth’s geological history.
Powerful statistical tools, simulations, and supercomputers explore a billion different nuclear forces and predict properties of the very-heavy lead-208 nucleus.
Patterned arrays of nanomagnets produce X-ray beams with a switchable rotating wavefront twist.
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.
The results of parity-violating electron scattering experiments PREX and CREX suggest a disagreement with global nuclear models.
Roughening of fusion reactor wall surfaces over time may significantly reduce erosion rate predictions