Filter News
Area of Research
- (-) Biology and Environment (19)
- (-) Clean Energy (53)
- Advanced Manufacturing (7)
- Building Technologies (2)
- Computational Engineering (1)
- Computer Science (7)
- Electricity and Smart Grid (1)
- Energy Sciences (1)
- Fusion and Fission (4)
- Fusion Energy (6)
- Materials (26)
- Materials for Computing (6)
- National Security (7)
- Neutron Science (5)
- Nuclear Science and Technology (13)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (3)
- Sensors and Controls (1)
- Supercomputing (7)
- Transportation Systems (1)
News Type
News Topics
- (-) Grid (22)
- (-) Machine Learning (4)
- (-) Materials Science (12)
- (-) Nuclear Energy (1)
- (-) Sustainable Energy (47)
- 3-D Printing/Advanced Manufacturing (33)
- Artificial Intelligence (2)
- Big Data (4)
- Bioenergy (23)
- Biology (34)
- Biomedical (8)
- Biotechnology (5)
- Buildings (19)
- Chemical Sciences (4)
- Clean Water (12)
- Climate Change (23)
- Composites (10)
- Computer Science (15)
- Coronavirus (9)
- Critical Materials (5)
- Cybersecurity (2)
- Decarbonization (18)
- Energy Storage (33)
- Environment (60)
- Exascale Computing (1)
- High-Performance Computing (9)
- Hydropower (6)
- Materials (16)
- Mathematics (4)
- Mercury (6)
- Microscopy (7)
- Nanotechnology (1)
- National Security (1)
- Net Zero (3)
- Neutron Science (1)
- Physics (1)
- Polymers (6)
- Security (2)
- Simulation (5)
- Space Exploration (2)
- Statistics (1)
- Summit (2)
- Transportation (37)
Media Contacts
If air taxis become a viable mode of transportation, Oak Ridge National Laboratory researchers have estimated they could reduce fuel consumption significantly while alleviating traffic congestion.
Planning for a digitized, sustainable smart power grid is a challenge to which Suman Debnath is using not only his own applied mathematics expertise, but also the wider communal knowledge made possible by his revival of a local chapter of the IEEE professional society.
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.
Oak Ridge National Laboratory researchers created a geothermal energy storage system that could reduce peak electricity demand up to 37% in homes while helping balance grid operations.