| Argonne Leadership Computing Facility

Argonne Leadership Computing Facility

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Leadership Computing Resources

The ALCF provides users with access to supercomputing resources that are significantly more powerful than systems typically used for open scientific research.

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The ALCF is accelerating scientific discoveries in many disciplines, ranging from chemistry and engineering to physics and materials science.

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Growing the HPC Community

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.
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Accelerating Science

The Argonne Leadership Computing Facility enables breakthroughs in science and engineering by providing supercomputing resources and expertise to the research community.
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Support Center

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]
Guides
Featured: Get Started

Featured: MyALCF

High-Fidelity Simulations of Open Fan/Wing Integration for Sustainable Aviation

Research Project Engineering

Detailed view of the turbulent flow at the wing-body juncture

Scalar Transport in Turbulent Bubbly Flows: Insights from Interface-Resolved Simulations

Research Project Engineering

Graphic from Mirbod proposal.

Exascale Simulations of Compact Binary Mergers

Research Project Physics

electric current density in the orbital plane of a binary neutron star merger

DNS of Shock-Induced Instabilities Over Hypersonic Control Surfaces

Research Project Engineering

Scalo Incite Graphic

Metis

Promotional Materials Download

Image of Metis machine.

Groq

Promotional Materials Download

Image of Groq machine.

Cerebras

Promotional Materials Download

Image of ALCF Cerebras system.

Ab Initio Theory Derived High-Fidelity Kinetics Databases

Research Project Chemistry

Ab Initio Theory Derived High-Fidelity Kinetics Databases

Revolutionary Insights into Turbomachinery Analysis Using Exascale Computing

Research Project Engineering

Predicting excited-states of organic semiconductor crystals with GW+BSE and ML

Research Project Materials Science

Marom INCITE 2026