Home

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

Turning materials data into AI-powered lab assistants

Science
University of Cambridge researchers are using ALCF supercomputers to develop domain-specific AI tools that aim to speed up materials discovery.
Diagram showing how ChemDataExtractor is used to build materials databases

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

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

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

ALCF On-Demand: Integrated Research Infrastructure for Experiment-Time Computing with Globus Tools

10/15/2025

See All Events
Updates

Recent Facility Updates

Aurora Maintenance: Duration Extended

Aurora DAOS Cluster Available

Maintenance Notice: Sbank Commands Unavailable: September 22

ORCID Requirement Effective September 22

New Compute Image Available for Testing on Aurora

Polaris: Submit Jobs Now, Get Through the Queue Faster

See All Facility Updates

Machine Status

Mouse over diagrams for details

Aurora

  • Jobs —
  • Queued —
  • Reserved —
  • Nodes —
  • Usage —
 

Polaris

  • Jobs —
  • Queued —
  • Reserved —
  • Nodes —
  • Usage —
 

Sophia

  • Jobs —
  • Queued —
  • Reserved —
  • Nodes —
  • Usage —
 

Crux

  • Jobs —
  • Queued —
  • Reserved —
  • Nodes —
  • Usage —
 

See All Machine Status