Filter News
News Topics
- (-) Artificial Intelligence (22)
- (-) Quantum Computing (10)
- 3-D Printing/Advanced Manufacturing (10)
- Advanced Reactors (3)
- Big Data (8)
- Bioenergy (10)
- Biology (11)
- Biomedical (5)
- Biotechnology (5)
- Buildings (13)
- Chemical Sciences (12)
- Clean Water (3)
- Climate Change (19)
- Composites (4)
- Computer Science (18)
- Critical Materials (3)
- Decarbonization (20)
- Education (1)
- Emergency (1)
- Energy Storage (8)
- Environment (18)
- Exascale Computing (5)
- Fossil Energy (2)
- Frontier (6)
- Fusion (4)
- Grid (6)
- High-Performance Computing (13)
- Isotopes (11)
- ITER (1)
- Machine Learning (8)
- Materials (13)
- Materials Science (13)
- Mathematics (2)
- Microscopy (2)
- Nanotechnology (2)
- National Security (13)
- Net Zero (5)
- Neutron Science (10)
- Nuclear Energy (7)
- Partnerships (11)
- Physics (4)
- Polymers (5)
- Quantum Science (12)
- Security (2)
- Simulation (12)
- Space Exploration (3)
- Statistics (2)
- Summit (4)
- Sustainable Energy (16)
- Transportation (12)
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.
Joseph Chapman, a research scientist in quantum communications at ORNL, was given the Physical Review Applied Reviewer Excellence 2024 award for his work as a peer reviewer for the journal Physical Review Applied.
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.
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.
Groundbreaking report provides ambitious framework for accelerating clean energy deployment while minimizing risks and costs in the face of climate change.
Scientists at Oak Ridge National Laboratory and six other Department of Energy national laboratories have developed a United States-based perspective for achieving net-zero carbon emissions.
Researchers simulated a key quantum state at one of the largest scales reported, with support from the Quantum Computing User Program, or QCUP, at ORNL.
Held in Cocoa Beach, Florida from March 11 to 14, researchers across the computing and data spectra participated in sessions developed by staff members from the Department of Energy’s Oak Ridge National Laboratory, or ORNL, Sandia National Laboratories and the Swiss National Supercomputing Centre.
In the age of easy access to generative AI software, user can take steps to stay safe. Suhas Sreehari, an applied mathematician, identifies misconceptions of generative AI that could lead to unintentionally bad outcomes for a user.
In partnership with the National Cancer Institute, researchers from ORNL and Louisiana State University developed a long-sequenced AI transformer capable of processing millions of pathology reports to provide experts researching cancer diagnoses and management with exponentially more accurate information on cancer reporting.