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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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Impacts of Lake Surface Temperature on the Summer Climate Over the Great Lakes Region

Publications JGR Atmospheres

Learning the Temporal Evolution of Multivariate Densities via Normalizing Flows

Publications Chaos: An Interdisciplinary Journal of Nonlinear Science

BatteryDataExtractor: Battery-Aware Text-Mining Software Embedded with BERT Models

Publications Chemical Science

The Role of Alkali Metal Cations and Platinum-Surface Hydroxyl in the Alkaline Hydrogen Evolution Reaction

Publications Nature Catalysis

Auto-generating Databases of Yield Strength and Grain Size Using ChemDataExtractor

Publications Scientific Data

Towards Cross-Platform Portability of Coupled-Cluster Methods with Perturbative Triples Using SYCL

Publications 2022 IEEE/ACM International Workshop on Performance, Portability and Productivity in HPC (P3HPC)

A Conditional Approach for Joint Estimation of Wind Speed and Direction Under Future Climates

Publications Advances in Statistical Climatology, Meteorology and Oceanography

Gauge-Equivariant Flow Models for Sampling in Lattice Field Theories with Pseudofermions

Publications Physical Review D

Sequence-Defined Pareto Frontier of a Copolymer Structure

Publications Journal of Polymer Science

Massively Parallel Modeling and Inversion of Electrical Resistivity Tomography Data Using PFLOTRAN

Publications Geoscientific Model Development

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