Argonne Leadership Computing Facility

ALCF Resources
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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.

Featured: Aurora
Science & Engineering
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Computational Science

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

Featured: Engineering
Community and Outreach
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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.
Support
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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

Overview of Integrated Research Infrastructure

Events

ALCF Developer Session March Graphic featuring title and date

Evaluation of Precipitation Across the Contiguous United States, Alaska, and Puerto Rico in Multi-Decadal Convection-Permitting Simulations

Publications Scientific Reports

Bridging the Data Gap Between Children and Large Language Models

Events

TPC Seminar Graphic featuring title of event with the date.

Multiscale Simulations of Solid Electrolyte Interphase in Lithium Metal Battery

Events

Efficient Algorithms for Monte Carlo Particle Transport on AI Accelerator Hardware

Publications Computer Physics Communications

February HPC-Workforce Webinar: HPC Culture and Identity

Events

Towards Uncertainty Quantification for Goal-oriented Inverse Problems

Events

LANS Seminar Graphic featuring the title and date for the event.

Jess Garrett

Person

Can Artificial Intelligence Generate Meaningful Scientific Hypotheses?

Events

Exploring Functional Materials for Energy Applications: A Multiscale Modeling and Machine Learning Approach

Events

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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

Overview of Integrated Research Infrastructure

Evaluation of Precipitation Across the Contiguous United States, Alaska, and Puerto Rico in Multi-Decadal Convection-Permitting Simulations

Bridging the Data Gap Between Children and Large Language Models

Multiscale Simulations of Solid Electrolyte Interphase in Lithium Metal Battery

Efficient Algorithms for Monte Carlo Particle Transport on AI Accelerator Hardware

February HPC-Workforce Webinar: HPC Culture and Identity

Towards Uncertainty Quantification for Goal-oriented Inverse Problems

Jess Garrett

Can Artificial Intelligence Generate Meaningful Scientific Hypotheses?

Exploring Functional Materials for Energy Applications: A Multiscale Modeling and Machine Learning Approach