Filter News
Area of Research
News Type
News Topics
- (-) Artificial Intelligence (23)
- (-) Cybersecurity (1)
- (-) High-Performance Computing (15)
- (-) Isotopes (10)
- (-) Materials Science (14)
- (-) Mercury (1)
- (-) Microscopy (3)
- (-) Security (2)
- 3-D Printing/Advanced Manufacturing (14)
- Advanced Reactors (2)
- Big Data (10)
- Bioenergy (10)
- Biology (12)
- Biomedical (6)
- Biotechnology (5)
- Buildings (9)
- Chemical Sciences (12)
- Clean Water (1)
- Climate Change (11)
- Composites (5)
- Computer Science (25)
- Critical Materials (5)
- Decarbonization (15)
- Education (1)
- Emergency (1)
- Energy Storage (6)
- Environment (18)
- Exascale Computing (8)
- Fossil Energy (2)
- Frontier (8)
- Fusion (7)
- Grid (7)
- Machine Learning (6)
- Materials (11)
- Mathematics (3)
- Microelectronics (1)
- Nanotechnology (1)
- National Security (15)
- Net Zero (4)
- Neutron Science (9)
- Nuclear Energy (8)
- Partnerships (15)
- Physics (8)
- Polymers (2)
- Quantum Computing (10)
- Quantum Science (12)
- Simulation (11)
- Space Exploration (3)
- Statistics (2)
- Summit (6)
- Sustainable Energy (14)
- Transportation (7)
Media Contacts
A team led by researchers at ORNL explored training strategies for one of the largest artificial intelligence models to date with help from the world’s fastest supercomputer. The findings could help guide training for a new generation of AI models for scientific research.
Researchers at the Department of Energy’s Oak Ridge National Laboratory met recently at an AI Summit to better understand threats surrounding artificial intelligence. The event was part of ORNL’s mission to shape the future of safe and secure AI systems charged with our nation’s most precious data.
When scientists pushed the world’s fastest supercomputer to its limits, they found those limits stretched beyond even their biggest expectations. In the latest milestone, a team of engineers and scientists used Frontier to simulate a system of nearly half a trillion atoms — the largest system ever modeled and more than 400 times the size of the closest competition.
ORNL scientists are working on a project to engineer and develop a cryogenic ion trap apparatus to simulate quantum spin liquids, a key research area in materials science and neutron scattering studies.
Mohamad Zineddin hopes to establish an interdisciplinary center of excellence for nuclear security at ORNL, combining critical infrastructure assessment and protection, risk mitigation, leadership in nuclear security, education and training, nuclear security culture and resilience strategies and techniques.
Scientists at ORNL completed a study of how well vegetation survived extreme heat events in both urban and rural communities across the country in recent years. The analysis informs pathways for climate mitigation, including ways to reduce the effect of urban heat islands.
The BIO-SANS instrument, located at Oak Ridge National Laboratory’s High Flux Isotope Reactor, is the latest neutron scattering instrument to be retrofitted with state-of-the-art robotics and custom software. The sophisticated upgrade quadruples the number of samples the instrument can measure automatically and significantly reduces the need for human assistance.
The new section of tunnel will provide the turning and connecting point for the accelerator beamline between the existing particle accelerator at ORNL’s Spallation Neutron Source and the planned Second Target Station, or STS. When complete, the PPU project will increase accelerator power up to 2.8 megawatts from its current record-breaking 1.7 megawatts of beam power.
To balance personal safety and research innovation, researchers at ORNL are employing a mathematical technique known as differential privacy to provide data privacy guarantees.
Groundbreaking report provides ambitious framework for accelerating clean energy deployment while minimizing risks and costs in the face of climate change.