Computing at ORNL

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 #GenesisMission by combining AI, data, advanced computing, and scientific infrastructure to accelerate discovery and energy innovation. Read the article: https://bit.ly/3RvFjj3

The U.S. Department of Energy (DOE)'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#AI and energy technologies. 📅 Proposal deadline: June 15, 2026 🔗 More details: https://bit.ly/3QBFYyK #BigScience

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 Quantum Computers Flexible superconducting architectures •IonQ Trapped-ion quantum computing •Quantinuum High-fidelity trapped-ion systems 🔗 Learn more and apply for access➡️ https://bit.ly/3Q2SNzf

How can AI help unlock the mysteries of quantum materials? ORNL researchers Yongqiang Cheng, Mark Lumsden, Daniel Pajerowski and Garrett Granroth 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 Oak Ridge National Laboratory'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 National Laboratory, SLAC National Accelerator Laboratory, Brookhaven National Laboratory, Massachusetts Institute of Technology, University of Tennessee, Knoxville, and The University of Texas at Austin. This work is part of the U.S. Department of Energy (DOE)'s Genesis mission to redefine how science is conducted through the power of AI, high-performance computing, and world-class research facilities. Learn more: https://lnkd.in/g7qHA2nH #GenesisMission #BigScience Neutrons at ORNL

From trillions of particles to 15 billion light-years of cosmic space. 🌌 Using Oak Ridge National Laboratory's Frontier supercomputer, researchers Nick Frontiere, Salman Habib and JD Emberson at Argonne National Laboratory 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 #BigScience

📣 Hiring Alert! Oak Ridge National Laboratory 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 #BigScience #GenesisMission #NowHiring

#QuantumComputers are powerful for certain tasks, but they don’t plug easily into today’s high-performance computing systems, making it hard to coordinate jobs, move data, and run smooth workflows. This software architecture developed by Computing at ORNL acts as a universal “manager” that lets classical supercomputers and different kinds of quantum hardware work together through standard interfaces and shared scheduling, without rewriting major applications. https://bit.ly/4mQqmDF

ICYMI⤵️ Day three of #SCSPAIExpo26 last week delivered strong momentum. We spoke with Oak Ridge National Laboratory's Stephen DeWitt at the AI Expo in Washington, D.C. following his demo, AI Agents for Autonomous Manufacturing Experiments. The demo offered an insightful look at how intelligent AI agents can plan, execute, and adapt manufacturing experiments in real time—reducing trial & error, accelerating discovery, and improving efficiency. This approach is helping advance the next generation of manufacturing systems. 🔗 More details ➡️ https://expo.scsp.ai/ #NationalLabs #GenesisMission #EnergyInnovation

📢 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

ICYMI⤵️ Last week’s #SCSPAIExpo26 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/ #NationalLabs #GenesisMission #EnergyInnovation