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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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    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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    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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First Principles Simulation of Reacting Hypersonic Flow over a Blunt Wedge

Publications Physics of Fluids

Osteocalcin: Promoter or Inhibitor of Hydroxyapatite Growth?

Publications Langmuir

Explainability and Extrapolation of Machine Learning Models for Predicting the Glass Transition Temperature of Polymers

Publications Journal of Polymer Science

Conformationally Selective 2-Aminotetralin Ligands Targeting the alpha2A- and alpha2C-Adrenergic Receptors

Publications ACS Chemical Neuroscience

DAFNI: A Computational Platform to Support Infrastructure Systems Research

Publications Proceedings of the Institution of Civil Engineers - Smart Infrastructure and Constrution

Scalable Riemann Solvers with the Discontinuous Galerkin Method for Hyperbolic Network Simulation

Publications PASC '23: Proceedings of the Platform for Advanced Scientific Computing Conference

FAZ: A Flexible Auto-Tuned Modular Error-Bounded Compression Framework for Scientific Data

Publications ICS '23: Proceedings of the 37th International Conference on Supercomputing

Black-White Disparities in Colorectal Cancer Outcomes: A Simulation Study of Screening Benefit

Publications JNCI Monographs

Developing Efficient Deep Learning Model for Predicting Copolymer Properties

Publications Physical Chemistry Chemical Physics

A Hybrid Tensor-Expert-Data Parallelism Approach to Optimize Mixture-of-Experts Training

Publications ICS '23: Proceedings of the 37th International Conference on Supercomputing

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