Collaborators use experiments, high-fidelity simulations and machine learning to deliver predictive tools to engine manufacturers.
Researchers nationwide are building the software and applications that will run on some the world’s fastest supercomputers. Among them are members of DOE’s Exascale Computing Project who recently published a paper highlighting their progress so far.
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.
Argonne scientists won a 2019 R&D 100 award for collaborating with Kairos Power to create software that simulates entire nuclear power plants.
Argonne nuclear scientists and engineers are collaborating with private partners in cutting-edge initiatives that will have meaningful impact.
While high-energy physics and cosmology seem worlds apart in terms of sheer scale, physicists and cosmologists at Argonne are using similar machine learning methods to address classification problems for both subatomic particles and galaxies.
Designing a new type of nuclear reactor is a complicated endeavor requiring billions of dollars and years of development. Because of the high cost, Argonne researchers are running a broad suite of computational codes on supercomputers that offer power available at only a few sites worldwide.