The ALCF provides users with access to supercomputing resources that are significantly more powerful than systems typically used for open scientific research.
The ALCF is accelerating scientific discoveries in many disciplines, ranging from chemistry and engineering to physics and materials science.
The ALCF is committed to providing training and outreach opportunities that prepare researchers to efficiently use its leadership computing systems, while also cultivating a diverse and skilled HPC workforce for the future.
The Argonne Leadership Computing Facility enables breakthroughs in science and engineering by providing supercomputing resources and expertise to the research community.
The ALCF Support Center assists users with support requests related to their ALCF projects.
Help Desk Hours: 9:00am-5:00pm CT M-F Email: [email protected]
Explore how researchers are using ALCF’s HPC and AI resources to achieve breakthroughs in science and engineering.
Domain Chemistry Domain Materials Science Systems Polaris PI Venkat Viswanathan, University of Michigan
Domain Engineering Systems Theta PI Maninder Grover, University of Dayton Research Institute and Air Force Research Laboratory
Domain Materials Science Systems Polaris PI Giulia Galli, Argonne National Laboratory and University of Chicago
Domain Engineering Systems Polaris, Sophia PI Rajkumar Kettimuthu, Ian Foster, Argonne National Laboratory
Domain Physics Systems Polaris, Aurora PI Yong Zhao, Argonne National Laboratory
Domain Materials Science Systems Aurora, Sophia PI Aiichiro Nakano, University of Southern California
Domain Physics Domain Engineering Systems Polaris, Aurora PI Misun Min, Argonne National Laboratory
Domain Chemistry Systems Theta PI Phay Ho, Argonne National Laboratory
Domain Engineering Systems Polaris PI Parisa Mirbod, University of Illinois Chicago
Domain Computer Science Systems Polaris PI Rick Stevens, Argonne National Laboratory