Decisive achievement
A computational sciences fellow models COVID-19 virus variants and examines how people weigh complex decisions.
Decisive achievement Read Post
2023
Learning climate
A Colorado State fellow employs machine learning for climate modeling, putting provenance behind predictions.
Statistically significant
A LANL statistician helps cosmologists and epidemiologists grasp their data and answer vital questions.
Statistically significant Read Post
Planet-friendly plastics
A Los Alamos team applies machine learning to find environmentally benign plastics.
Planet-friendly plastics Read Post
A split nanosecond
Sandia supercomputer simulations of atomic behavior under extreme conditions advances materials modeling.
A colorful career
Argonne’s Joe Insley combines art and computer science to build intricate images and animations from supercomputer simulations.
Mapping the metastable
An Argonne National Laboratory group uses supercomputers to model known and mysterious atomic arrangements, revealing useful properties.
Mapping the metastable Read Post
The human factor
A PNNL team works to improve AI and machine learning tools so that grid operators can feel confident using them.