Filter News
Area of Research
- (-) Clean Energy (29)
- Advanced Manufacturing (1)
- Biology and Environment (10)
- Computer Science (2)
- Fusion Energy (2)
- Isotopes (1)
- Materials (34)
- Materials for Computing (5)
- National Security (8)
- Neutron Science (16)
- Nuclear Science and Technology (4)
- Quantum information Science (1)
- Supercomputing (33)
News Topics
- (-) Artificial Intelligence (3)
- (-) Biomedical (2)
- (-) Computer Science (9)
- (-) Cybersecurity (1)
- (-) Grid (6)
- (-) Materials Science (8)
- (-) Transportation (13)
- 3-D Printing/Advanced Manufacturing (17)
- Advanced Reactors (3)
- Big Data (2)
- Bioenergy (9)
- Biology (1)
- Biotechnology (1)
- Chemical Sciences (2)
- Clean Water (1)
- Climate Change (6)
- Composites (1)
- Coronavirus (7)
- Decarbonization (1)
- Energy Storage (16)
- Environment (17)
- Exascale Computing (1)
- High-Performance Computing (1)
- Isotopes (1)
- Machine Learning (4)
- Materials (2)
- Mathematics (1)
- Microscopy (3)
- Molten Salt (1)
- Nanotechnology (4)
- Neutron Science (4)
- Nuclear Energy (2)
- Physics (1)
- Polymers (3)
- Quantum Science (2)
- Summit (2)
- Sustainable Energy (20)
- Transformational Challenge Reactor (2)
Media Contacts
ORNL and Department of Energy officials dedicated the launch of two clean energy research initiatives that focus on the recycling and recovery of advanced manufacturing materials and on connected and
Scientists at Oak Ridge National Laboratory used new techniques to create a composite that increases the electrical current capacity of copper wires, providing a new material that can be scaled for use in ultra-efficient, power-dense electric vehicle traction motors.
A team led by ORNL created a computational model of the proteins responsible for the transformation of mercury to toxic methylmercury, marking a step forward in understanding how the reaction occurs and how mercury cycles through the environment.
Oak Ridge National Laboratory researchers have developed artificial intelligence software for powder bed 3D printers that assesses the quality of parts in real time, without the need for expensive characterization equipment.
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.
Five researchers at the Department of Energy’s Oak Ridge National Laboratory have been named ORNL Corporate Fellows in recognition of significant career accomplishments and continued leadership in their scientific fields.
Scientists at ORNL used neutron scattering and supercomputing to better understand how an organic solvent and water work together to break down plant biomass, creating a pathway to significantly improve the production of renewable
Burak Ozpineci of the Electrical and Electronics Systems Research Division at Oak Ridge National Laboratory has won the 2020 IEEE Power Electronics Society Vehicle and Transportation Systems Achievement Award.
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.