Oak Ridge Leadership Computing Facility

05/29/2026

A new secure, scalable platform unifies energy storage data from national laboratories and field deployments, creating a foundation for AI-driven analysis, lifetime prediction, anomaly detection, and digital twin development.

By connecting data, advanced computing, and machine learning, the platform helps accelerate the validation and deployment of long-duration energy storage technologies that support a more reliable grid.

“Long-duration storage projects generate massive, messy data streams that have historically been locked in separate systems,” said Srikanth Allu, ROVI DataHub principal investigator at ORNL. “With the DataHub, we now have a single, secure environment where those data can be brought together, curated and turned into trusted insights for DOE, researchers and industry partners.”

The work aligns with DOE's by combining AI, data, advanced computing, and scientific infrastructure to accelerate discovery and energy innovation.

Read the article:

Led by ORNL, the DataHub supports AI-driven workflows for lifetime prediction, anomaly detection and digital twin development using curated energy storage data Published: May 28, 2026 Updated: May 28, 2026 The Department of Energy’s Rapid Operational Validation Initiative (ROVI) has reached a majo...

05/28/2026

The U.S. Department of Energy's INCITE program is accepting proposals for computationally intensive research that pushes the frontiers of science.💫

This is an opportunity to access the nation’s most powerful open science supercomputers, including the exascale systems Frontier at Oak Ridge National Laboratory and Aurora at Argonne National Laboratory, to tackle grand challenges at unprecedented scale.

📝 Who should apply?

Researchers from academia, national labs, and industry across disciplines, from astrophysics and chemistry to hashtag and energy technologies.

📅 Proposal deadline: June 15, 2026

🔗 More details: https://bit.ly/3QBFYyK

05/27/2026

The Quantum Computing User Program at Oak Ridge National Laboratory gives researchers access to cutting-edge quantum computing resources, technical expertise, and collaborative opportunities for discovery and innovation in scientific computing applications.

Available resources include:

•IBM Quantum Superconducting gate-based systems
•IQM Flexible superconducting architectures
•IonQ Trapped-ion quantum computing
•Quantinuum High-fidelity trapped-ion systems

🔗 Learn more and apply for access➡️ https://bit.ly/3Q2SNzf

05/22/2026

How can AI help unlock the mysteries of quantum materials?

ORNL researchers discuss how artificial intelligence, neutron scattering, supercomputing, and quantum materials research are coming together to transform scientific discovery.

The Multimodal AI for 2D Quantum Magnets (MAIQMag) is using AI-driven workflows, digital twins, and ORNL's Frontier supercomputer to dramatically reduce the time needed to analyze experimental data and discover new quantum phenomena. The project is a collaboration between ORNL, Argonne, SLAC, Brookhaven, MIT, University of Tennessee, and University of Texas.

This work is part of the DOE Genesis mission to redefine how science is conducted through the power of AI, high-performance computing, and world-class research facilities.

Learn more: https://www.ornl.gov/genesis

05/20/2026

From trillions of particles to 15 billion light-years of cosmic space. 🌌

Using ORNL's Frontier supercomputer, researchers at Argonne ran the largest astrophysical simulation of the universe ever conducted, modeling gravity, gas, dark matter, and ordinary matter together at unprecedented scale.

The simulation set a new benchmark for understanding how the universe evolves and demonstrates how high-performance computing is accelerating scientific discovery across disciplines.💫

🔗 https://bit.ly/4hZqVYT

05/19/2026

📣 Hiring Alert!

ORNL is hiring a Director for Scientific AI R&D within the Computing and Computational Sciences Directorate.

This leadership role will help shape the future of AI-enabled science by advancing novel AI methods, building collaborative research programs, and driving scientific discovery across some of the world’s most advanced computing and experimental infrastructure.

The ideal candidate is a scientific thought leader with a vision for how AI, high-performance computing, and data-intensive science can accelerate discovery and strengthen U.S. leadership in science and technology.

This work aligns with the U.S. Department of Energy (DOE)'s Genesis Mission, where advances in AI, computing, data, and experimental systems are converging to transform the speed and scale of scientific discovery.

🔗 Learn more and apply ➡️ https://bit.ly/4dkhvqT

05/14/2026

📢 Submit your data visualization for the 2026 OLCF User Summit!

This is your chance to highlight your work using OLCF resources.

The 2026 OLCF User Summit will feature facility updates, user-experience talks from teams running on Frontier, and deep dive discussions with OLCF staff.

📅 June 2–3, 2026
📍 Oak Ridge National Laboratory

👉 Submit your visualization here: https://bit.ly/4bE8Kpt

05/14/2026

ICYMI⤵️

Last week’s was a huge success!💫

We met up with ORNL’s YQ Cheng at the AI + Expo in Washington D.C. (May 7-9) to discuss his demo—Seeing the Unseen: AI Decodes Quantum Materials.

He explains how AI combined with advanced materials science can unlock hidden patterns inside quantum materials.

🔗 More details ➡️ https://expo.scsp.ai/

05/12/2026

The 2026 AI + Expo was full of excitement!

Oak Ridge National Laboratory Associate Lab Director Georgia Tourassi joined leaders from across the U.S. Department of Energy ecosystem at the AI+ Expo in Washington D.C. (May 7-9) to highlight key efforts under the Genesis Mission, including the American Science Cloud, the Transformative AI Models Consortium, and more.

The panel discussion, “Powering Discovery at Scale: The American Science Prowess Behind the Genesis Mission," highlighted the impactful opportunity the Genesis Mission represents for accelerating scientific discovery through the convergence of AI, leadership-class computing, scientific data, and integrated research infrastructure.

🔗 More details ➡️ https://expo.scsp.ai/

05/12/2026

📣 Registration for the 2026 Quantum Computing User Forum is still open!

📆 July 20-24, 2026
📍 Oak Ridge National Laboratory

This in-person event brings together members of the Quantum Computing User Program (QCUP) and the broader community to exchange ideas, share best practices, and explore the latest in quantum applications, software, and simulations.

Don’t miss your opportunity to be part of the conversation shaping the future of quantum computing!

📝 Learn more and register before it's too late! ➡️ https://bit.ly/4teNY7w