Argonne Leadership Computing Facility

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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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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: support@alcf.anl.gov
Guides
Featured: Get Started

Featured: MyALCF

Utilization of Field Measurements to Better Understand the Sensitivity of Atmospheric Chemistry to Meteorological Processes

Events 10/05/2021

A plot of precipitable water (gray scale) and precipitation rate (colors) in a simulation of the Earth's atmosphere.

Machine Learning and Genetic Algorithms in Theoretical Physics

Events 11/10/2021

Sci-News: New Research Sheds Light on Neutrino-Nucleus Interactions

Using Quasi-Experimental Methods to Study the Economic Benefits of Well-Functioning Ecosystems

Events 10/28/2021

Optimal Control of Open Quantum Systems on HPC Platforms

Events 10/06/2021

Billion atom reactive molecular dynamics simulation of nanobubble collapse in wa

Sea, Land, and Air: Assisting the United States Air Force with Management and Protection of Cultural Resources

Events 10/06/2021

Machine Learning and Inverse Problems in Scientific Imaging

Events 09/30/2021

$Alterations of the nanoscale structure of live HeLa cells after chemical fixation, as observed using partial wave spectroscopic (PWS) optical microscopy.  Chemical fixation appears to alter the cellular nanoscale structure in addition to terminating its macromolecular remodeling.  These changes could not be detected using traditional modes of optical microscopy, being far smaller than the diffraction limit of visible light.$

Brian Holland

Person

Aaron Scheinberg

Person

Paulius Velesko

Person

Nathan Nichols

Person

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Leadership Computing Resources

Featured: Aurora

Computational Science

Featured: Engineering

Growing the HPC Community

Accelerating Science

Support Center

Featured: Get Started

Featured: MyALCF

Utilization of Field Measurements to Better Understand the Sensitivity of Atmospheric Chemistry to Meteorological Processes

Machine Learning and Genetic Algorithms in Theoretical Physics

Using Quasi-Experimental Methods to Study the Economic Benefits of Well-Functioning Ecosystems

Optimal Control of Open Quantum Systems on HPC Platforms

Sea, Land, and Air: Assisting the United States Air Force with Management and Protection of Cultural Resources

Machine Learning and Inverse Problems in Scientific Imaging

Brian Holland

Aaron Scheinberg

Paulius Velesko

Nathan Nichols