In a study published in Physical Review C, researchers used machine learning-assisted analysis to determine the unique quantum energy levels—a “fingerprint” formed through the rearrangement of the protons and neutrons—in the nucleus of sulfur-38.
In a study published in Physical Review Letters, researchers utilized the Argonne Tandem Linac Accelerator System to pioneer a method for determining whether presolar grains are of nova or supernova origin.
In a study published in Physical Review Letters, researchers demonstrate how technical advances are assisting scientists in analyzing the nucleus of mercury-207, an isotope with a unique number of protons and neutrons.
In a study published in Physical Review C, researchers show how improvements to nucleon-nucleon scattering data experiments allow for more accurate predictions about the maximum mass a neutron star can have before it collapses into a black hole.
Experimental physicist focused on quantum chromodynamics in hadrons and nuclei through electron scattering experiments at Jefferson Lab and EIC. Developing next-generation detector technology for nuclear physics applications.
