Filter News
Area of Research
- Advanced Manufacturing (4)
- Biology and Environment (11)
- Clean Energy (18)
- Computational Engineering (1)
- Computer Science (5)
- Fusion Energy (2)
- Materials (25)
- Materials for Computing (6)
- National Security (9)
- Neutron Science (4)
- Quantum information Science (3)
- Renewable Energy (1)
- Supercomputing (9)
- Transportation Systems (1)
News Type
News Topics
- (-) Big Data (21)
- (-) Cybersecurity (9)
- (-) Hydropower (8)
- (-) Machine Learning (15)
- (-) Materials Science (45)
- (-) Quantum Science (12)
- 3-D Printing/Advanced Manufacturing (42)
- Advanced Reactors (15)
- Artificial Intelligence (17)
- Bioenergy (32)
- Biology (38)
- Biomedical (19)
- Biotechnology (7)
- Buildings (27)
- Chemical Sciences (15)
- Clean Water (19)
- Climate Change (36)
- Composites (11)
- Computer Science (52)
- Coronavirus (17)
- Critical Materials (13)
- Decarbonization (23)
- Energy Storage (45)
- Environment (80)
- Exascale Computing (4)
- Frontier (4)
- Fusion (16)
- Grid (27)
- High-Performance Computing (20)
- Irradiation (2)
- Isotopes (13)
- ITER (4)
- Materials (42)
- 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 (13)
- Quantum Computing (5)
- Security (7)
- Simulation (10)
- Space Exploration (10)
- Statistics (1)
- Summit (8)
- 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 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.
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.
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.
Carl Dukes’ career as an adept communicator got off to a slow start: He was about 5 years old when he spoke for the first time. “I’ve been making up for lost time ever since,” joked Dukes, a technical professional at the Department of Energy’s Oak Ridge National Laboratory.
Madhavi Martin brings a physicist’s tools and perspective to biological and environmental research at the Department of Energy’s Oak Ridge National Laboratory, supporting advances in bioenergy, soil carbon storage and environmental monitoring, and even helping solve a murder mystery.