Filter News
Area of Research
- (-) Clean Energy (99)
- Advanced Manufacturing (8)
- Biology and Environment (50)
- Biology and Soft Matter (1)
- Building Technologies (1)
- Climate and Environmental Systems (3)
- Computational Biology (1)
- Computational Engineering (2)
- Computer Science (12)
- Fusion and Fission (6)
- Fusion Energy (8)
- Isotopes (19)
- Materials (70)
- Materials for Computing (15)
- Mathematics (1)
- National Security (22)
- Neutron Science (61)
- Nuclear Science and Technology (16)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (6)
- Supercomputing (76)
- Transportation Systems (2)
News Type
News Topics
- (-) Advanced Reactors (2)
- (-) Climate Change (14)
- (-) Composites (11)
- (-) Computer Science (16)
- (-) Cybersecurity (5)
- (-) Materials Science (13)
- (-) Microscopy (4)
- (-) Neutron Science (2)
- (-) Space Exploration (3)
- (-) Transportation (43)
- 3-D Printing/Advanced Manufacturing (45)
- Artificial Intelligence (3)
- Big Data (1)
- Bioenergy (12)
- Biology (6)
- Biomedical (3)
- Biotechnology (2)
- Buildings (24)
- Chemical Sciences (4)
- Clean Water (7)
- Coronavirus (7)
- Critical Materials (4)
- Decarbonization (19)
- Energy Storage (41)
- Environment (33)
- Fossil Energy (1)
- Grid (28)
- High-Performance Computing (3)
- Hydropower (2)
- Machine Learning (2)
- Materials (17)
- Mathematics (2)
- Mercury (2)
- Microelectronics (1)
- Nanotechnology (3)
- National Security (1)
- Net Zero (2)
- Nuclear Energy (3)
- Partnerships (4)
- Polymers (6)
- Quantum Science (1)
- Security (3)
- Simulation (2)
- Statistics (1)
- Summit (2)
- Sustainable Energy (41)
Media Contacts
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.
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 built a novel microscope that provides a “chemical lens” for viewing biological systems including cell membranes and biofilms.
Ada Sedova’s journey to Oak Ridge National Laboratory has taken her on the path from pre-med studies in college to an accelerated graduate career in mathematics and biophysics and now to the intersection of computational science and biology
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 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.