Filter News
Area of Research
News Topics
- (-) Machine Learning (5)
- (-) Materials (2)
- 3-D Printing/Advanced Manufacturing (7)
- Advanced Reactors (5)
- Artificial Intelligence (7)
- Big Data (7)
- Biomedical (1)
- Buildings (2)
- Chemical Sciences (1)
- Clean Water (4)
- Climate Change (4)
- Composites (2)
- Computer Science (15)
- Critical Materials (1)
- Cybersecurity (1)
- Decarbonization (2)
- Energy Storage (7)
- Environment (9)
- Fusion (3)
- Grid (3)
- High-Performance Computing (2)
- ITER (1)
- Materials Science (11)
- Microscopy (2)
- Molten Salt (1)
- Nanotechnology (2)
- Neutron Science (9)
- Nuclear Energy (9)
- Physics (2)
- Polymers (2)
- Quantum Science (3)
- Simulation (2)
- Space Exploration (3)
- Summit (2)
- Sustainable Energy (4)
- Transportation (9)
Media Contacts
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.
An international team using neutrons set the first benchmark (one nanosecond) for a polymer-electrolyte and lithium-salt mixture. Findings could produce safer, more powerful lithium batteries.
To capitalize on AI and researcher strengths, scientists developed a human-AI collaboration recommender system for improved experimentation performance.
Oak Ridge National Laboratory is training next-generation cameras called dynamic vision sensors, or DVS, to interpret live information—a capability that has applications in robotics and could improve autonomous vehicle sensing.
Researchers at Oak Ridge National Laboratory are taking inspiration from neural networks to create computers that mimic the human brain—a quickly growing field known as neuromorphic computing.
A study led by Oak Ridge National Laboratory explored the interface between the Department of Veterans Affairs’ healthcare data system and the data itself to detect the likelihood of errors and designed an auto-surveillance tool