Filter News
Area of Research
- Advanced Manufacturing (2)
- Biology and Environment (22)
- Clean Energy (38)
- Computational Engineering (1)
- Computer Science (2)
- Fusion and Fission (3)
- Isotopes (3)
- Materials (19)
- Materials for Computing (3)
- National Security (20)
- Neutron Science (10)
- Nuclear Science and Technology (1)
- Quantum information Science (1)
- Supercomputing (32)
News Type
News Topics
- (-) Artificial Intelligence (33)
- (-) Biomedical (25)
- (-) Buildings (21)
- (-) Clean Water (7)
- (-) Composites (11)
- (-) Cybersecurity (23)
- (-) Partnerships (26)
- (-) Summit (22)
- 3-D Printing/Advanced Manufacturing (55)
- Advanced Reactors (12)
- Big Data (14)
- Bioenergy (41)
- Biology (43)
- Biotechnology (11)
- Chemical Sciences (37)
- Climate Change (37)
- Computer Science (70)
- Coronavirus (23)
- Critical Materials (12)
- Decarbonization (32)
- Education (3)
- Element Discovery (1)
- Energy Storage (55)
- Environment (73)
- Exascale Computing (12)
- Fossil Energy (1)
- Frontier (17)
- Fusion (21)
- Grid (22)
- High-Performance Computing (35)
- Hydropower (2)
- Isotopes (25)
- ITER (3)
- Machine Learning (18)
- Materials (65)
- Materials Science (62)
- Mathematics (4)
- Mercury (6)
- Microscopy (25)
- Molten Salt (2)
- Nanotechnology (32)
- National Security (33)
- Net Zero (5)
- Neutron Science (57)
- Nuclear Energy (39)
- Physics (40)
- Polymers (17)
- Quantum Computing (10)
- Quantum Science (28)
- Renewable Energy (1)
- Security (17)
- Simulation (12)
- Space Exploration (3)
- Statistics (2)
- Sustainable Energy (44)
- Transformational Challenge Reactor (4)
- Transportation (36)
Media Contacts
John Lagergren, a staff scientist in Oak Ridge National Laboratory’s Plant Systems Biology group, is using his expertise in applied math and machine learning to develop neural networks to quickly analyze the vast amounts of data on plant traits amassed at ORNL’s Advanced Plant Phenotyping Laboratory.
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.
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.
A collection of seven technologies for lithium recovery developed by scientists from ORNL has been licensed to Element3, a Texas-based company focused on extracting lithium from wastewater produced by oil and gas production.
Cheekatamarla is a researcher in the Multifunctional Equipment Integration group with previous experience in product deployment. He is researching alternative energy sources such as hydrogen for cookstoves and his research supports the decarbonization of building technologies.
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.
Although he built his career around buildings, Fengqi “Frank” Li likes to break down walls. Li was trained as an architect, but he doesn’t box himself in. Currently he is working as a computational developer at ORNL. But Li considers himself a designer. To him, that’s less a box than a plane – a landscape scattered with ideas, like destinations on a map that can be connected in different ways.
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.
In a win for chemistry, inventors at ORNL have designed a closed-loop path for synthesizing an exceptionally tough carbon-fiber-reinforced polymer, or CFRP, and later recovering all of its starting materials.