Feature Articles

Argonne National Laboratory leads the Fast Reactor Program, which provides key support to industry in demonstrating clean, green advanced nuclear reactor technologies.

Kevin Brown, a Walter Massey Fellow at Argonne National Laboratory, talks about the fellowship and his career focused on optimizing supercomputers. 

A new international consortium brings together teams of researchers to create trustworthy and reliable generative AI models to address critical scientific and engineering challenges.

The use of disciplines in pure mathematics can increase the reliability and explainability of machine learning models that “transcend human intuition,” according to PNNL scientists.

Jefferson Lab and Old Dominion University are launching a unique joint institute that will leverage the lab’s specialties in data science and computing in an effort to tackle the most pressing problems and disparities at the intersection of health and the environment in Hampton Roads. 

Researchers at the Department of Energy’s Oak Ridge National Laboratory have been leading a project to understand how a high-altitude electromagnetic pulse, or EMP, could threaten power plants.

As the United States works to achieve net-zero carbon emissions by 2050, different energy sectors will require different solutions.

STEM mapping provides communities a holistic view of community assets and collective strengths, including libraries, computer labs, makerspaces and instructional kitchens.

Argonne scientists recognized for use of exascale computing tools to achieve high-fidelity simulations of advanced nuclear reactor systems and high-resolution simulations that reduce uncertainty in climate model predictions.

As EUV lithography begins paving the way for the future, scientists are faced with the hurdle of identifying the most effective resist materials for this new era of nanofabrication. In an effort to address this need, a team of scientists at the Center for Functional Nanomaterials (CFN)—a U.S. Department of Energy (DOE) Office of Science User Facility at DOE’s Brookhaven National Laboratory—has designed a new light-sensitive, organic-inorganic hybrid material that enables high-performance patternability by EUV lithography.