Filter News
Area of Research
- Advanced Manufacturing (3)
- Biological Systems (1)
- Biology and Environment (16)
- Clean Energy (11)
- Computational Biology (2)
- Computational Engineering (1)
- Computer Science (4)
- Fusion and Fission (16)
- Fusion Energy (11)
- Isotopes (5)
- Materials (23)
- Materials for Computing (4)
- National Security (10)
- Neutron Science (59)
- Nuclear Science and Technology (11)
- Supercomputing (32)
News Type
News Topics
- (-) Artificial Intelligence (65)
- (-) Biomedical (42)
- (-) Fusion (40)
- (-) Neutron Science (80)
- (-) Security (13)
- 3-D Printing/Advanced Manufacturing (74)
- Advanced Reactors (21)
- Big Data (47)
- Bioenergy (67)
- Biology (78)
- Biotechnology (15)
- Buildings (43)
- Chemical Sciences (38)
- Clean Water (28)
- Climate Change (76)
- Composites (17)
- Computer Science (129)
- Coronavirus (28)
- Critical Materials (17)
- Cybersecurity (17)
- Decarbonization (58)
- Education (2)
- Emergency (2)
- Energy Storage (61)
- Environment (150)
- Exascale Computing (32)
- Fossil Energy (5)
- Frontier (28)
- Grid (47)
- High-Performance Computing (60)
- Hydropower (11)
- Irradiation (2)
- Isotopes (36)
- ITER (5)
- Machine Learning (35)
- Materials (81)
- Materials Science (83)
- Mathematics (9)
- Mercury (10)
- Microelectronics (3)
- Microscopy (31)
- Molten Salt (6)
- Nanotechnology (28)
- National Security (50)
- Net Zero (10)
- Nuclear Energy (75)
- Partnerships (22)
- Physics (35)
- Polymers (17)
- Quantum Computing (27)
- Quantum Science (42)
- Renewable Energy (1)
- Simulation (41)
- Software (1)
- Space Exploration (22)
- Statistics (2)
- Summit (39)
- Sustainable Energy (93)
- Transformational Challenge Reactor (3)
- Transportation (63)
Media Contacts
While government regulations are slowly coming, a group of cybersecurity professionals are sharing best practices to protect large language models powering these tools. Sean Oesch, a leader in emerging cyber technologies, recently contributed to the OWASP AI Security and Privacy Guide to inform global AI security standards and regulations.
Chuck Greenfield, former assistant director of the DIII-D National Fusion Program at General Atomics, has joined ORNL as ITER R&D Lead.
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.
ORNL and the University of Tennessee, Knoxville, co-hosted the 2023 National Society of Black Physicists Annual Conference with the theme "Frontiers in Physics: From Quantum to Materials to the Cosmos.” As part of the three-day conference held near UT, attendees took a 30-mile trip to the ORNL campus for facility tours, science talks and workshops.
Researchers at the Department of Energy’s Oak Ridge and Lawrence Berkeley National Laboratories are evolving graph neural networks to scale on the nation’s most powerful computational resources, a necessary step in tackling today’s data-centric
New computational framework speeds discovery of fungal metabolites, key to plant health and used in drug therapies and for other uses.
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.
The 2023 top science achievements from HFIR and SNS feature a broad range of materials research published in high impact journals such as Nature and Advanced Materials.
ORNL will lead a new DOE-funded project designed to accelerate bringing fusion energy to the grid. The Accelerate award focuses on developing a fusion power plant design concept that supports remote maintenance and repair methods for the plasma-facing components in fusion power plants.