Filter News
Area of Research
- (-) Clean Energy (159)
- Advanced Manufacturing (13)
- Biology and Environment (90)
- Biology and Soft Matter (1)
- Building Technologies (2)
- Climate and Environmental Systems (2)
- Computational Engineering (2)
- Computer Science (11)
- Electricity and Smart Grid (3)
- Energy Sciences (1)
- Fuel Cycle Science and Technology (1)
- Functional Materials for Energy (1)
- Fusion and Fission (33)
- Fusion Energy (11)
- Isotope Development and Production (1)
- Isotopes (6)
- Materials (111)
- Materials Characterization (1)
- Materials for Computing (18)
- Materials Under Extremes (1)
- Mathematics (1)
- National Security (35)
- Neutron Science (34)
- Nuclear Science and Technology (37)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (9)
- Sensors and Controls (2)
- Supercomputing (75)
- Transportation Systems (1)
News Topics
- (-) Clean Water (8)
- (-) Climate Change (21)
- (-) Composites (17)
- (-) Grid (40)
- (-) Machine Learning (7)
- (-) Materials Science (26)
- (-) Nuclear Energy (7)
- (-) Quantum Science (2)
- (-) Security (6)
- (-) Sustainable Energy (69)
- (-) Transformational Challenge Reactor (3)
- 3-D Printing/Advanced Manufacturing (78)
- Advanced Reactors (6)
- Artificial Intelligence (8)
- Big Data (5)
- Bioenergy (26)
- Biology (11)
- Biomedical (6)
- Biotechnology (4)
- Buildings (38)
- Chemical Sciences (14)
- Computer Science (25)
- Coronavirus (12)
- Critical Materials (9)
- Cybersecurity (8)
- Decarbonization (33)
- Energy Storage (72)
- Environment (54)
- Exascale Computing (2)
- Fossil Energy (2)
- Frontier (2)
- Fusion (1)
- High-Performance Computing (6)
- Hydropower (2)
- Isotopes (1)
- Materials (35)
- Mathematics (2)
- Mercury (3)
- Microelectronics (1)
- Microscopy (8)
- Molten Salt (1)
- Nanotechnology (8)
- National Security (5)
- Net Zero (3)
- Neutron Science (11)
- Partnerships (12)
- Physics (1)
- Polymers (11)
- Renewable Energy (1)
- Simulation (4)
- Space Exploration (3)
- Statistics (1)
- Summit (4)
- Transportation (66)
Media Contacts
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.
Scientists at Oak Ridge National Laboratory have demonstrated a direct relationship between climate warming and carbon loss in a peatland ecosystem.
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.
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.
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.
Giri Prakash, data informatics scientist and director of the Department of Energy’s Atmospheric Radiation Measurement Data Center at Oak Ridge National Laboratory, has accepted an invitation from the National Academies of Sciences, Engineering, and Medicine to serve a four-year term on the U.S. National Committee for CODATA.
An international team of scientists found that rules governing plant growth hold true even at the edges of the world in the Arctic tundra.
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 the Department of Energy’s Oak Ridge National Laboratory are refining their design of a 3D-printed nuclear reactor core, scaling up the additive manufacturing process necessary to build it, and developing methods