Filter News
Area of Research
- (-) Clean Energy (34)
- (-) Neutron Science (7)
- Advanced Manufacturing (2)
- Biology and Environment (8)
- Computational Engineering (1)
- Computer Science (7)
- Electricity and Smart Grid (2)
- Fusion and Fission (15)
- Fusion Energy (11)
- Isotopes (3)
- Materials (11)
- Materials for Computing (2)
- National Security (14)
- Nuclear Science and Technology (10)
- Quantum information Science (7)
- Sensors and Controls (1)
- Supercomputing (25)
News Type
News Topics
- (-) Grid (28)
- (-) Machine Learning (5)
- (-) Quantum Science (3)
- (-) Space Exploration (5)
- 3-D Printing/Advanced Manufacturing (47)
- Advanced Reactors (2)
- Artificial Intelligence (8)
- Big Data (2)
- Bioenergy (15)
- Biology (7)
- Biomedical (10)
- Biotechnology (2)
- Buildings (24)
- Chemical Sciences (6)
- Clean Water (9)
- Climate Change (14)
- Composites (11)
- Computer Science (22)
- Coronavirus (10)
- Critical Materials (4)
- Cybersecurity (5)
- Decarbonization (20)
- Energy Storage (44)
- Environment (37)
- Fossil Energy (2)
- High-Performance Computing (4)
- Hydropower (2)
- Materials (24)
- Materials Science (23)
- Mathematics (3)
- Mercury (2)
- Microelectronics (1)
- Microscopy (6)
- Nanotechnology (6)
- National Security (2)
- Net Zero (2)
- Neutron Science (57)
- Nuclear Energy (5)
- Partnerships (4)
- Physics (2)
- Polymers (7)
- Quantum Computing (1)
- Security (4)
- Simulation (2)
- Statistics (1)
- Summit (4)
- Sustainable Energy (41)
- Transportation (44)
Media Contacts
A new Department of Energy report produced by Oak Ridge National Laboratory details national and international trends in hydropower, including the role waterpower plays in enhancing the flexibility and resilience of the power grid.
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 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.
ORNL researchers have developed an intelligent power electronic inverter platform that can connect locally sited energy resources such as solar panels, energy storage and electric vehicles and smoothly interact with the utility power grid.
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.
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 the Department of Energy’s Oak Ridge National Laboratory (ORNL) in late February demonstrated a 20-kilowatt bi-directional wireless charging system installed on a UPS medium-duty, plug-in hybrid electric delivery truck.
In the race to identify solutions to the COVID-19 pandemic, researchers at the Department of Energy’s Oak Ridge National Laboratory are joining the fight by applying expertise in computational science, advanced manufacturing, data science and neutron science.
Scientists at the Department of Energy’s Oak Ridge National Laboratory have developed a new method to peer deep into the nanostructure of biomaterials without damaging the sample. This novel technique can confirm structural features in starch, a carbohydrate important in biofuel production.
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.