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Supercharging battery research with Aurora and the Advanced Photon Source

Science
By combining world-class capabilities in materials imaging at APS with powerful simulation, AI, and data analysis resources at ALCF, Argonne’s cutting-edge user facilities will help usher in a new era of battery innovation.
ALCF and APS

ALCF Hands-on HPC Workshop

Training
Join us for the 2025 ALCF Hands-on HPC Workshop, a two-part training event designed to help researchers boost the performance of HPC and AI applications and workflows on ALCF systems.
alcf hands on workshop graphic featuring title and dates
Aurora Updates

Aurora Science and User News

Building AI Foundation Models to Accelerate the Discovery of New Battery Materials

HPCwire

Foundation Models to Accelerate the Discovery of New Battery Materials

CleanTechnica

US supercomputers train on billions of molecules to boost battery material discovery

Interesting Engineering

From Trust to Scale in LLMs: Insights from Key Leaders at TPC25

HPCwire

Learn More About Aurora

Building AI foundation models for battery materials

Science
University of Michigan researchers are leveraging ALCF supercomputers to train massive chemical foundation models to accelerate the discovery of new battery electrolytes and electrodes.
Diagram of foundation model for battery materials

DAOS and Lustre excel in MLPerf Storage Benchmark

Aurora
Aurora's DAOS and Lustre file systems achieved strong results in the MLPerf Storage Benchmark, demonstrating the capabilities needed for large-scale AI training in the exascale era.
MLPerf Storage

Improving next-generation aircraft with supercomputing and AI

Science
Using ALCF's Aurora exascale system, a University of Colorado Boulder-led team is combining large-scale simulations and machine learning to advance turbulence modeling and guide the design of more efficient aircraft.
Simulation showing airflow patterns around an airplane’s vertical tail.

Researchers zero in on a new material for quantum information storage

Science
With help from ALCF’s Polaris supercomputer, the team performed high-precision calculations to shed light on a spin defect in magnesium oxide with potential for use as a qubit in future quantum systems.
Magnesium atoms (orange) and oxygen atoms (red) surround the nitrogen-vacancy center in magnesium oxide, shown by a transparent representation of a nitrogen atom under the missing magnesium atom. The yellow and blue spots show how electrons localize around the vacancy.

User Updates

Debugging and Correctness Tools on Aurora

Video
In this webinar, ALCF's JaeHyuk Kwack will provide overview of debugging and correctness tools available on Aurora, coupled with instructions on how to use them with applications.
October Dev Session Graphic featuring title, date, and image of speaker.
Events

Upcoming Training and Events

Debugging and Correctness Tools on Aurora

10/01/2025

ParaView - Scientific Data Analysis and Visualization Training

10/02/2025

2025 ALCF Hands-on HPC Workshop

10/07 - 09/2025

See All Events
Updates

Recent Facility Updates

Verify Project Information: DOE/SC Annual Call

Apply for a DD Allocation on Aurora

Changes to Aurora Queue Policy

Polaris Upgrade: Recompile Code (CUDA Versions Corrected)

New Compute Image to Be Tested on Aurora: September 8

Aurora Unavailable September 15-17

See All Facility Updates

Machine Status

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Sophia

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Crux

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