Filter News
Area of Research
- Biology and Environment (43)
- Biology and Soft Matter (1)
- Clean Energy (25)
- Climate and Environmental Systems (2)
- Computational Biology (1)
- Computational Engineering (2)
- Computer Science (4)
- Fusion and Fission (3)
- Materials (16)
- Materials for Computing (4)
- Mathematics (1)
- National Security (13)
- Neutron Science (7)
- Quantum information Science (2)
- Supercomputing (37)
News Type
News Topics
- (-) Artificial Intelligence (56)
- (-) Climate Change (67)
- (-) Microscopy (31)
- (-) Net Zero (9)
- (-) Security (11)
- 3-D Printing/Advanced Manufacturing (65)
- Advanced Reactors (21)
- Big Data (36)
- Bioenergy (63)
- Biology (73)
- Biomedical (39)
- Biotechnology (13)
- Buildings (35)
- Chemical Sciences (28)
- Clean Water (27)
- Composites (14)
- Computer Science (119)
- Coronavirus (28)
- Critical Materials (13)
- Cybersecurity (17)
- Decarbonization (51)
- Education (1)
- Emergency (2)
- Energy Storage (59)
- Environment (143)
- Exascale Computing (25)
- Fossil Energy (4)
- Frontier (24)
- Fusion (37)
- Grid (43)
- High-Performance Computing (53)
- Hydropower (11)
- Irradiation (2)
- Isotopes (30)
- ITER (5)
- Machine Learning (31)
- Materials (74)
- Materials Science (74)
- Mathematics (6)
- Mercury (10)
- Microelectronics (2)
- Molten Salt (6)
- Nanotechnology (28)
- National Security (36)
- Neutron Science (73)
- Nuclear Energy (70)
- Partnerships (15)
- Physics (30)
- Polymers (15)
- Quantum Computing (21)
- Quantum Science (37)
- Renewable Energy (1)
- Simulation (35)
- Software (1)
- Space Exploration (22)
- Statistics (1)
- Summit (36)
- Sustainable Energy (86)
- Transformational Challenge Reactor (3)
- Transportation (62)
Media Contacts
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.
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.
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.
In partnership with the National Cancer Institute, researchers from the Department of Energy’s Oak Ridge National Laboratory’s Modeling Outcomes for Surveillance using Scalable Artificial Intelligence are building on their groundbreaking work to
To capitalize on AI and researcher strengths, scientists developed a human-AI collaboration recommender system for improved experimentation performance.
ORNL scientists and researchers attended the annual American Geophysical Union meeting and came away inspired for the year ahead in geospatial, earth and climate science.
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.
Scientists at the Department of Energy’s Oak Ridge National Laboratory are using a new modeling framework in conjunction with data collected from marshes in the Mississippi Delta to improve predictions of climate-warming methane and nitrous oxide.
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.