Filter News
Area of Research
- (-) Clean Energy (52)
- Advanced Manufacturing (11)
- Biology and Environment (7)
- Building Technologies (2)
- Climate and Environmental Systems (1)
- Computational Engineering (2)
- Computer Science (10)
- Electricity and Smart Grid (1)
- Fusion and Fission (2)
- Fusion Energy (6)
- Materials (28)
- Materials for Computing (7)
- Mathematics (1)
- National Security (3)
- Neutron Science (23)
- Nuclear Science and Technology (3)
- Quantum information Science (3)
- Sensors and Controls (1)
- Supercomputing (18)
- Transportation Systems (1)
News Topics
- (-) 3-D Printing/Advanced Manufacturing (23)
- (-) Computer Science (9)
- (-) Grid (15)
- (-) Machine Learning (2)
- (-) Materials Science (9)
- (-) Polymers (5)
- Artificial Intelligence (1)
- Big Data (1)
- Bioenergy (2)
- Biology (2)
- Biomedical (1)
- Biotechnology (1)
- Buildings (13)
- Chemical Sciences (1)
- Clean Water (4)
- Climate Change (6)
- Composites (9)
- Coronavirus (2)
- Critical Materials (4)
- Decarbonization (4)
- Energy Storage (21)
- Environment (15)
- High-Performance Computing (1)
- Hydropower (2)
- Materials (12)
- Mathematics (1)
- Mercury (1)
- Microscopy (2)
- Nanotechnology (1)
- Net Zero (1)
- Nuclear Energy (1)
- Simulation (1)
- Space Exploration (2)
- Statistics (1)
- Sustainable Energy (27)
- Transportation (26)
Media Contacts
Algorithms developed at Oak Ridge National Laboratory can greatly enhance X-ray computed tomography images of 3D-printed metal parts, resulting in more accurate, faster scans.
Oak Ridge National Laboratory researchers used additive manufacturing to build a first-of-its kind smart wall called EMPOWER.
Oak Ridge National Laboratory researchers have developed a machine learning model that could help predict the impact pandemics such as COVID-19 have on fuel demand in the United States.
Researchers at Oak Ridge National Laboratory developed a method that uses machine learning to predict seasonal fire risk in Africa, where half of the world’s wildfire-related carbon emissions originate.
Oak Ridge National Laboratory scientists seeking the source of charge loss in lithium-ion batteries demonstrated that coupling a thin-film cathode with a solid electrolyte is a rapid way to determine the root cause.
Oak Ridge National Laboratory researchers have developed a thin film, highly conductive solid-state electrolyte made of a polymer and ceramic-based composite for lithium metal batteries.
Researchers at Oak Ridge National Laboratory demonstrated a 20-kilowatt bi-directional wireless charging system on a UPS plug-in hybrid electric delivery truck, advancing the technology to a larger class of vehicles and enabling a new energy storage method for fleet owners and their facilities.
Researchers at ORNL demonstrated that sodium-ion batteries can serve as a low-cost, high performance substitute for rechargeable lithium-ion batteries commonly used in robotics, power tools, and grid-scale energy storage.
To better determine the potential energy cost savings among connected homes, researchers at Oak Ridge National Laboratory developed a computer simulation to more accurately compare energy use on similar weather days.