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.
Brandon is a theoretical physicist who is interested in expanding our knowledge of QCD through the applications of machine learning and AI-augmented theory calculations.
EVS is demonstrating the feasibility of integrating perennial biomass crops into agricultural landscapes to produce bioenergy feedstock and commodity crops while providing multiple ecosystem services.
In a study published in the Journal of Physical Chemistry Letters, researchers using artificial intelligence identified 175 drugs as potential therapeutics against COVID-19.
In a study published in Applied Physics Letters, researchers develop a fast, dose-efficient, high-resolution method for AI-enabled scanning coherent imaging.
Three researchers in Argonne’s Mathematics and Computer Science Division – Matt Menickelly, Anirudh Subramanyam, and Ashwin Renganathan – have received Laboratory Directed Research & Development (LDRD) Program seed funding awards for 2020.
