Filter News
Area of Research
- Advanced Manufacturing (3)
- Biological Systems (1)
- Biology and Environment (37)
- Clean Energy (36)
- Climate and Environmental Systems (1)
- Computational Engineering (2)
- Computer Science (5)
- Fusion and Fission (5)
- Fusion Energy (7)
- Isotopes (10)
- Materials (24)
- Materials for Computing (2)
- Mathematics (1)
- National Security (11)
- Neutron Science (8)
- Nuclear Science and Technology (10)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Sensors and Controls (1)
- Supercomputing (27)
News Type
News Topics
- (-) Advanced Reactors (24)
- (-) Artificial Intelligence (48)
- (-) Bioenergy (39)
- (-) Climate Change (46)
- (-) Isotopes (23)
- (-) Security (13)
- 3-D Printing/Advanced Manufacturing (76)
- Big Data (24)
- Biology (40)
- Biomedical (28)
- Biotechnology (11)
- Buildings (35)
- Chemical Sciences (43)
- Clean Water (15)
- Composites (20)
- Computer Science (101)
- Coronavirus (28)
- Critical Materials (23)
- Cybersecurity (20)
- Decarbonization (31)
- Education (3)
- Element Discovery (1)
- Energy Storage (74)
- Environment (81)
- Exascale Computing (11)
- Fossil Energy (2)
- Frontier (16)
- Fusion (26)
- Grid (37)
- High-Performance Computing (41)
- Hydropower (6)
- Irradiation (2)
- ITER (5)
- Machine Learning (25)
- Materials (95)
- Materials Science (87)
- Mathematics (2)
- Mercury (5)
- Microelectronics (1)
- Microscopy (27)
- Molten Salt (8)
- Nanotechnology (38)
- National Security (21)
- Net Zero (5)
- Neutron Science (78)
- Nuclear Energy (46)
- Partnerships (30)
- Physics (28)
- Polymers (21)
- Quantum Computing (15)
- Quantum Science (38)
- Renewable Energy (1)
- Simulation (16)
- Space Exploration (13)
- Statistics (2)
- Summit (27)
- Sustainable Energy (75)
- Transformational Challenge Reactor (4)
- Transportation (61)
Media Contacts
Oak Ridge National Laboratory scientists have developed a method leveraging artificial intelligence to accelerate the identification of environmentally friendly solvents for industrial carbon capture, biomass processing, rechargeable batteries and other applications.
Leadership Tennessee has named Clarice Phelps to its 2024–2025 Signature Program Class XI to collaborate with professionals statewide to address Tennessee’s most serious issues.
Researchers at Oak Ridge National Laboratory have developed free data sets to estimate how much energy any building in the contiguous U.S. will use in 2100. These data sets provide planners a way to anticipate future energy needs as the climate changes.
Vanderbilt University and ORNL announced a partnership to develop training, testing and evaluation methods that will accelerate the Department of Defense’s adoption of AI-based systems in operational environments.
ORNL scientists develop a sample holder that tumbles powdered photochemical materials within a neutron beamline — exposing more of the material to light for increased photo-activation and better photochemistry data capture.
Scientists have uncovered the properties of a rare earth element that was first discovered 80 years ago at the very same laboratory, opening a new pathway for the exploration of elements critical in modern technology, from medicine to space travel.
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.
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.