A UC Davis fellow combines computing, the corn genome and growing data to help farmers forecast biofortified crop production. Read More
A Computational Science Graduate Fellowship recipient monitors threats to satellites in Earth’s ionosphere by modeling plasma waves. Read More
A computational sciences fellow models COVID-19 virus variants and examines how people weigh complex decisions. Read More
A Colorado State fellow employs machine learning for climate modeling, putting provenance behind predictions. Read More
A LANL statistician helps cosmologists and epidemiologists grasp their data and answer vital questions. Read More
A Los Alamos team applies machine learning to find environmentally benign plastics. Read More
Sandia supercomputer simulations of atomic behavior under extreme conditions advances materials modeling. Read More
Argonne’s Joe Insley combines art and computer science to build intricate images and animations from supercomputer simulations. Read More
An Argonne National Laboratory group uses supercomputers to model known and mysterious atomic arrangements, revealing useful properties. Read More
A PNNL team works to improve AI and machine learning tools so that grid operators can feel confident using them. Read More