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.
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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

Gravitational-Wave and Gravitational-Wave Memory Signatures of Core-Collapse Supernovae

Publications The Astrophysical Journal

Scalable Mesh-based Scientific Machine Learning for Fluid Dynamics Simulations

Events

LANS Seminar Graphic featuring the title and date for the event, and a image of the speaker.

Closing the Loop: AI-Powered Multi-scale Modeling to Autonomous Synthesis for Materials Discovery

Events

LCF Seminar Graphic featuring date and title.

Systematic Improvement of Quantum Monte Carlo Calculations in Transition Metal Oxides: sCI-Driven Wavefunction Optimization for Reliable Band Gap Prediction

Publications Journal of Chemical Theory and Computation

Exploring Interlayer Coupling in the Twisted Bilayer PtTe2

Publications Physical Review Research

Navigating Geospatial Data Science: From Digital Soil Mapping to Future Innovations

Events

EVS Seminar Graphic featuring title and date.

The Use of Artificial Intelligence in Ptychography Probe Position Prediction and Adaptive Spectroscopy Sampling

Events

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

Scaling Large Vision-Language Models for Enhanced Multimodal Comprehension in Scientific Discovery

Events

TPC Seminar Graphic featuring title of event with the date.

Stochastic Derivative-Free Optimization Algorithms Using Random Subspace

Events

2023 Operational Assessment Report

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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

Gravitational-Wave and Gravitational-Wave Memory Signatures of Core-Collapse Supernovae

Scalable Mesh-based Scientific Machine Learning for Fluid Dynamics Simulations

Closing the Loop: AI-Powered Multi-scale Modeling to Autonomous Synthesis for Materials Discovery

Systematic Improvement of Quantum Monte Carlo Calculations in Transition Metal Oxides: sCI-Driven Wavefunction Optimization for Reliable Band Gap Prediction

Exploring Interlayer Coupling in the Twisted Bilayer PtTe2

Navigating Geospatial Data Science: From Digital Soil Mapping to Future Innovations

The Use of Artificial Intelligence in Ptychography Probe Position Prediction and Adaptive Spectroscopy Sampling

Scaling Large Vision-Language Models for Enhanced Multimodal Comprehension in Scientific Discovery

Stochastic Derivative-Free Optimization Algorithms Using Random Subspace

2023 Operational Assessment Report