Filter News
Area of Research
- Advanced Manufacturing (1)
- Biological Systems (1)
- Biology and Environment (87)
- Biology and Soft Matter (1)
- Clean Energy (40)
- Climate and Environmental Systems (1)
- Computational Biology (1)
- Computational Engineering (1)
- Computer Science (1)
- Fusion and Fission (9)
- Fusion Energy (1)
- Isotopes (5)
- Materials (56)
- Materials for Computing (6)
- National Security (26)
- Neutron Science (26)
- Nuclear Science and Technology (9)
- Supercomputing (86)
News Type
News Topics
- (-) Advanced Reactors (18)
- (-) Artificial Intelligence (74)
- (-) Big Data (29)
- (-) Biology (79)
- (-) Biomedical (45)
- (-) Climate Change (69)
- (-) Frontier (37)
- (-) Physics (50)
- (-) Polymers (20)
- 3-D Printing/Advanced Manufacturing (79)
- Bioenergy (73)
- Biotechnology (17)
- Buildings (30)
- Chemical Sciences (50)
- Clean Water (15)
- Composites (15)
- Computer Science (137)
- Coronavirus (34)
- Critical Materials (12)
- Cybersecurity (31)
- Decarbonization (61)
- Education (4)
- Element Discovery (1)
- Emergency (2)
- Energy Storage (69)
- Environment (136)
- Exascale Computing (33)
- Fossil Energy (5)
- Fusion (41)
- Grid (38)
- High-Performance Computing (68)
- Hydropower (5)
- Isotopes (42)
- ITER (4)
- Machine Learning (34)
- Materials (99)
- Materials Science (92)
- Mathematics (5)
- Mercury (9)
- Microelectronics (2)
- Microscopy (36)
- Molten Salt (3)
- Nanotechnology (42)
- National Security (51)
- Net Zero (11)
- Neutron Science (95)
- Nuclear Energy (77)
- Partnerships (40)
- Quantum Computing (27)
- Quantum Science (54)
- Renewable Energy (2)
- Security (21)
- Simulation (37)
- Software (1)
- Space Exploration (15)
- Statistics (2)
- Summit (50)
- Sustainable Energy (74)
- Transformational Challenge Reactor (7)
- Transportation (51)
Media Contacts
The United States could triple its current bioeconomy by producing more than 1 billion tons per year of plant-based biomass for renewable fuels, while meeting projected demands for food, feed, fiber, conventional forest products and exports, according to the DOE’s latest Billion-Ton Report led by ORNL.
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.
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
Anuj J. Kapadia, who heads the Advanced Computing Methods for Health Sciences Section at ORNL, has been elected as president of the Southeastern Chapter of the American Association of Physicists in Medicine.
Two different teams that included Oak Ridge National Laboratory employees were honored Feb. 20 with Secretary’s Honor Achievement Awards from the Department of Energy. This is DOE's highest form of employee recognition.
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.
Gina Tourassi, associate laboratory director for computing and computational sciences at the US Department of Energy’s (DOE’s) Oak Ridge National Laboratory, has been named a fellow of the Institute of Electrical and Electronics Engineers, the world’s largest organization for technical professionals.
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.