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Argonne Leadership Computing Facility

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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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2008 ALCF User Survey Results

Promotional Materials User Survey

2018 User Survey

Physics-inspired deep learning to characterize the signal manifold of quasi-circular, spinning, non-precessing binary black hole mergers

Publications Physics Letters B

The Present and Future of Tools for Scientific Computing

Events 08/05/2020

DOE supercomputer

Toward the Future: High-Fidelity Simulation for Next-Generation Nuclear Reactors

Research Project Physics

Plasma Surface Interaction Modeling

Research Project Materials Science

Reconstructing Neutrino Data with the MicroBooNE Liquid Argon Detector

Research Project Physics

Understanding the Role of Hierarchical Correlations in Solution-Phase Chemical Separations

Research Project Chemistry

Predictive Modeling of Nanoporous Materials and Multiphase Systems

Research Project Materials Science

Supercomputing for Automotive High-Temperature Alloy Design

Research Project Materials Science

Optimization Studies of the LBNF - PIP-II Complex for Megawatt Beams on Target

Research Project Physics

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