Argonne scientists use AI to identify new materials for carbon capture

Researchers at the U.S. Department of Energy’s Argonne National Laboratory have used new generative AI techniques to propose new metal-organic framework materials that could offer enhanced abilities to capture carbon

Argonne researchers to present cutting-edge work at SC23 conference

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.

New tools to combat Chicago’s changing climate

Argonne and Northeastern Illinois University launched instruments to measure Chicago’s changing climate. These sensors are the first for the Argonne-led Urban Integrated Field Laboratory called Community Research on Climate and Urban Science (CROCUS).

Projects to fight biological threats receive $5 million in federal funding

To help computer models better mimic reality, Argonne National Laboratory and Sandia National Laboratories will collaborate on agent-based modeling projects.

Grant establishes UAH as hub for statewide university high-performance computing

The University of Alabama in Huntsville (UAH), a part of the University of Alabama System, will become the Alabama hub for statewide high-performance computing (HPC) under a nearly $1 million two-year National Science Foundation (NSF) grant.

Argonne and Oak Ridge National Laboratories award Codeplay software

Argonne National Laboratory (Argonne) in collaboration with Oak Ridge National Laboratory (ORNL), has awarded Codeplay a contract implementing the oneAPI DPC++ compiler, an implementation of the SYCL open standard software, to support AMD GPU-based high-performance compute (HPC) supercomputers.

Seventeen from Argonne recognized with Secretary of Energy’s Honor Awards

Six groups that included seventeen scientists from the U.S. Department of Energy’s (DOE) Argonne National Laboratory were recent recipients of the DOE’s 2020 Secretary of Energy’s Honor Awards.

Preparing for exascale: Eliminating disruptions on the path to sustainable fusion energy

With the world’s most powerful path-to-exascale supercomputing resources at their disposal, William Tang and colleagues are combining computer muscle and AI to eliminate disruption of fusion reactions in the production of sustainable clean energy.