Filter News
Area of Research
- Advanced Manufacturing (1)
- Biology and Environment (28)
- Clean Energy (22)
- Computational Engineering (2)
- Computer Science (4)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (1)
- Fusion and Fission (2)
- Isotopes (1)
- Materials (10)
- Materials for Computing (1)
- Mathematics (1)
- National Security (21)
- Neutron Science (7)
- Renewable Energy (1)
- Sensors and Controls (1)
- Supercomputing (18)
News Topics
- (-) Clean Water (29)
- (-) Hydropower (11)
- (-) Machine Learning (45)
- (-) Security (24)
- 3-D Printing/Advanced Manufacturing (116)
- Advanced Reactors (33)
- Artificial Intelligence (86)
- Big Data (50)
- Bioenergy (88)
- Biology (96)
- Biomedical (58)
- Biotechnology (21)
- Buildings (54)
- Chemical Sciences (59)
- Climate Change (94)
- Composites (25)
- Computer Science (184)
- Coronavirus (46)
- Critical Materials (24)
- Cybersecurity (35)
- Decarbonization (73)
- Education (3)
- Element Discovery (1)
- Emergency (2)
- Energy Storage (106)
- Environment (192)
- Exascale Computing (36)
- Fossil Energy (5)
- Frontier (41)
- Fusion (53)
- Grid (60)
- High-Performance Computing (83)
- Irradiation (3)
- Isotopes (47)
- ITER (7)
- Materials (140)
- Materials Science (134)
- Mathematics (6)
- Mercury (12)
- Microelectronics (2)
- Microscopy (50)
- Molten Salt (8)
- Nanotechnology (60)
- National Security (59)
- Net Zero (11)
- Neutron Science (129)
- Nuclear Energy (105)
- Partnerships (40)
- Physics (59)
- Polymers (31)
- Quantum Computing (30)
- Quantum Science (65)
- Renewable Energy (2)
- Simulation (45)
- Software (1)
- Space Exploration (24)
- Statistics (3)
- Summit (57)
- Sustainable Energy (120)
- Transformational Challenge Reactor (7)
- Transportation (93)
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.
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.
Groundwater withdrawals are expected to peak in about one-third of the world’s basins by 2050, potentially triggering significant trade and agriculture shifts, a new analysis finds.
An experiment by researchers at the Department of Energy’s Oak Ridge National Laboratory demonstrated advanced quantum-based cybersecurity can be realized in a deployed fiber link.
To capitalize on AI and researcher strengths, scientists developed a human-AI collaboration recommender system for improved experimentation performance.
ORNL climate modeling expertise contributed to a project that assessed global emissions of ammonia from croplands now and in a warmer future, while also identifying solutions tuned to local growing conditions.
New computational framework speeds discovery of fungal metabolites, key to plant health and used in drug therapies and for other uses.
Louise Stevenson uses her expertise as an environmental toxicologist to evaluate the effects of stressors such as chemicals and other contaminants on aquatic systems.
In summer 2023, ORNL's Prasanna Balaprakash was invited to speak at a roundtable discussion focused on the importance of academic artificial intelligence research and development hosted by the White House Office of Science and Technology Policy and the U.S. National Science Foundation.