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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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Accurate simulation of surfaces and interfaces of ten FCC metals and steel using Lennard–Jones potentials

Publications NPJ Computational Materials

Coarse-Grained Density Functional Theory Predictions via Deep Kernel Learning

Publications Creative Commons

Learning in Continuous Action Space for Developing High Dimensional Potential Energy Models

Publications Nature Communications

Learning with Delayed Rewards—A Case Study on Inverse Defect Design in 2D Materials

Publications American Chemical Society

Paradigms of frustration in superionic solid electrolytes

Publications Royal Society

Structural descriptor for enhanced spin-splitting in 2D hybrid perovskites

Publications Nature Communications

Spatio-temporal characterization of attosecond pulses from plasma mirrors

Publications Nature Physics

Global Activity Search Uncovers Reaction Induced Concomitant Catalyst Restructuring for Alkane Dissociation on Model Pt Catalysts

Publications American Chemical Society

Robust, Multi-Length-Scale, Machine Learning Potential for Ag–Au Bimetallic Alloys from Clusters to Bulk Materials

Publications American Chemical Society

Oxidation Dynamics of Supported Catalytic Cu Clusters: Coupling to Fluxionality

Publications American Chemical Society

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