Filter News
Area of Research
- Biology and Environment (12)
- Clean Energy (11)
- Computational Biology (1)
- Computational Engineering (1)
- Computer Science (6)
- Fusion and Fission (1)
- Fusion Energy (1)
- Materials (6)
- Materials for Computing (1)
- National Security (5)
- Neutron Science (1)
- Quantum information Science (3)
- Supercomputing (19)
News Type
News Topics
- (-) Big Data (21)
- (-) Critical Materials (13)
- (-) High-Performance Computing (20)
- (-) Machine Learning (15)
- (-) Quantum Science (12)
- (-) Summit (8)
- 3-D Printing/Advanced Manufacturing (43)
- Advanced Reactors (15)
- Artificial Intelligence (17)
- Bioenergy (32)
- Biology (38)
- Biomedical (19)
- Biotechnology (7)
- Buildings (27)
- Chemical Sciences (17)
- Clean Water (19)
- Climate Change (36)
- Composites (11)
- Computer Science (52)
- Coronavirus (17)
- Cybersecurity (9)
- Decarbonization (23)
- Energy Storage (45)
- Environment (80)
- Exascale Computing (4)
- Frontier (4)
- Fusion (16)
- Grid (27)
- Hydropower (8)
- Irradiation (2)
- Isotopes (14)
- ITER (4)
- Materials (42)
- Materials Science (45)
- Mathematics (5)
- Mercury (7)
- Microscopy (20)
- Molten Salt (5)
- Nanotechnology (18)
- National Security (18)
- Net Zero (3)
- Neutron Science (35)
- Nuclear Energy (32)
- Partnerships (1)
- Physics (20)
- Polymers (14)
- Quantum Computing (5)
- Security (7)
- Simulation (10)
- Space Exploration (10)
- Statistics (1)
- Sustainable Energy (57)
- Transportation (47)
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.
ORNL researchers used electron-beam additive manufacturing to 3D-print the first complex, defect-free tungsten parts with complex geometries.
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.
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.
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.
It would be a challenge for any scientist to match Alexey Serov’s rate of inventions related to green hydrogen fuel. But this researcher at ORNL has 84 patents with at least 35 more under review, so his electrifying pace is unlikely to slow down any time soon.
Walters is working with a team of geographers, linguists, economists, data scientists and software engineers to apply cultural knowledge and patterns to open-source data in an effort to document and report patterns of human movement through previously unstudied spaces.
After completing a bachelor’s degree in biology, Toya Beiswenger didn’t intend to go into forensics. But almost two decades later, the nuclear security scientist at ORNL has found a way to appreciate the art of nuclear forensics.