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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 Argonne Leadership Computing Facility enables breakthroughs in science and engineering by providing supercomputing resources and expertise to the research community.

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Experimentally Driven Automated Machine-Learned Interatomic Potential for a Refractory Oxide

Publications Physical Review Letters

Unusual layer-by-layer growth of epitaxial oxide islands during Cu oxidation

Publications Nature Communications

Improved Al-Mg alloy surface segregation predictions with a machine learning atomistic potential

Publications Physical Review Materials

Experiences with Porting the FLASH Code to Ookami, an HPE Apollo 80 A64FX Platform

Publications HPCAsia 2022 Workshop: International Conference on High Performance Computing in Asia-Pacific Region Workshops

Magnetic Field Amplification by a Nonlinear Electron Streaming Instability

Publications Physical Review Letters

Optimization of High-Entropy Alloy Catalyst for Ammonia Decomposition and Ammonia Synthesis

Publications The Journal of Physical Chemistry Letters

A Vorticity-Based Criterion to Characterise Leading Edge Dynamic Stall Onset

Publications Journal of Fluid Mechanics

Comparing Distributed Termination Detection Algorithms for Modern HPC Platforms

Publications International Journal of Networking and Computing

Fixed-angle conjectures for the quantum approximate optimization algorithm on regular MaxCut graphs

Publications Physical Review A

Task-Level Resilience: Checkpointing vs. Supervision

Publications International Journal of Networking and Computing

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