Filter News
Area of Research
- Biology and Environment (6)
- Clean Energy (9)
- Computational Biology (1)
- Computational Engineering (1)
- Computer Science (6)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (1)
- Fusion and Fission (4)
- Fusion Energy (1)
- Materials (5)
- Materials for Computing (1)
- National Security (5)
- Neutron Science (2)
- Quantum information Science (4)
- Supercomputing (16)
News Type
News Topics
- (-) Big Data (24)
- (-) ITER (5)
- (-) Machine Learning (17)
- (-) Quantum Science (16)
- (-) Summit (10)
- 3-D Printing/Advanced Manufacturing (61)
- Advanced Reactors (20)
- Artificial Intelligence (25)
- Bioenergy (38)
- Biology (45)
- Biomedical (23)
- Biotechnology (7)
- Buildings (33)
- Chemical Sciences (29)
- Clean Water (19)
- Climate Change (43)
- Composites (15)
- Computer Science (68)
- Coronavirus (21)
- Critical Materials (14)
- Cybersecurity (15)
- Decarbonization (27)
- Energy Storage (61)
- Environment (95)
- Exascale Computing (7)
- Frontier (7)
- Fusion (24)
- Grid (30)
- High-Performance Computing (32)
- Hydropower (8)
- Irradiation (3)
- Isotopes (22)
- Materials (75)
- Materials Science (65)
- Mathematics (5)
- Mercury (7)
- Microscopy (29)
- Molten Salt (6)
- Nanotechnology (30)
- National Security (25)
- Net Zero (4)
- Neutron Science (49)
- Nuclear Energy (48)
- Partnerships (6)
- Physics (26)
- Polymers (19)
- Quantum Computing (7)
- Security (10)
- Simulation (15)
- Software (1)
- Space Exploration (11)
- Statistics (1)
- Sustainable Energy (66)
- Transformational Challenge Reactor (1)
- Transportation (58)
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.
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.
Inspection technology developed by Oak Ridge National Laboratory will help deliver plasma heating to the ITER international fusion facility.
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.
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.
When reading the novel Jurassic Park as a teenager, Jerry Parks found the passages about gene sequencing and supercomputers fascinating, but never imagined he might someday pursue such futuristic-sounding science.
A study led by Oak Ridge National Laboratory researchers identifies a new potential application in quantum computing that could be part of the next computational revolution.