Research and development is an expensive undertaking for any company -- which is why so many startups begin with a new patent, a brand new idea foundationally tested and ready to be scaled up.

Argonne National Laboratory to partner with minority-serving institutions to mentor students in artificial intelligence research as part of DOE's effort to advance diversity in STEM.

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

Two teams that include scientists from U.S. Department of Energy's (DOE) Argonne National Laboratory have been named finalists for the Association for Computing Machinery 2023 Gordon Bell Prize. Both teams conducted groundbreaking research with the use of high performance exascale computing tools, such as Frontier, a supercomputer at DOE's Oak Ridge National Laboratory (ORNL).

Researchers at the U.S. Department of Energy's Argonne National Laboratory used supercomputing resources to develop a new dataset for estimating increased flood risk from climate change during the mid-21st century.

The annual Argonne Training Program on Extreme-Scale Computing equips attendees with the skills and knowledge needed to use the world's most powerful supercomputers for scientific research.

Researchers are preparing to use Argonne's Aurora exascale supercomputer and artificial intelligence to accelerate the search for promising new materials for batteries, catalysts and other applications.

New exascale simulations, some of the most robust ever, could improve reactor design, driving down costs to build.

Understanding big datasets requires better analytical models, says the Maria Goeppert Mayer Fellow.

Argonne National Laboratory is building one of the nation's first exascale systems, Aurora. Aurora's Early Science Program, through the Argonne Leadership Computing Facility, tapped 15 research teams to get ready for launch. One team is using computational chemistry to accelerate the discovery of new catalysts.