Filter News
Area of Research
- Advanced Manufacturing (6)
- Biology and Environment (3)
- Building Technologies (1)
- Clean Energy (13)
- Climate and Environmental Systems (1)
- Computational Engineering (1)
- Computer Science (6)
- Fusion Energy (3)
- Materials (9)
- National Security (1)
- Nuclear Science and Technology (7)
- Quantum information Science (2)
- Supercomputing (9)
News Topics
- (-) 3-D Printing/Advanced Manufacturing (12)
- (-) Bioenergy (4)
- (-) Computer Science (22)
- (-) Nuclear Energy (12)
- (-) Polymers (4)
- (-) Security (1)
- Advanced Reactors (6)
- Artificial Intelligence (9)
- Big Data (8)
- Biology (5)
- Biomedical (5)
- Buildings (8)
- Chemical Sciences (2)
- Clean Water (6)
- Climate Change (3)
- Composites (4)
- Coronavirus (4)
- Critical Materials (5)
- Cybersecurity (2)
- Decarbonization (1)
- Energy Storage (11)
- Environment (14)
- Exascale Computing (1)
- Fusion (4)
- Grid (8)
- High-Performance Computing (4)
- Hydropower (5)
- Irradiation (1)
- Isotopes (2)
- Machine Learning (5)
- Materials (11)
- Materials Science (15)
- Mercury (2)
- Microscopy (6)
- Molten Salt (4)
- Nanotechnology (7)
- National Security (3)
- Neutron Science (13)
- Partnerships (1)
- Physics (4)
- Quantum Science (5)
- Simulation (2)
- Space Exploration (7)
- Summit (3)
- Sustainable Energy (8)
- Transportation (13)
Media Contacts
The presence of minerals called ash in plants makes little difference to the fitness of new naturally derived compound materials designed for additive manufacturing, an Oak Ridge National Laboratory-led team found.
ORNL researchers discovered genetic mutations that underlie autism using a new approach that could lead to better diagnostics and drug therapies.
Oak Ridge National Laboratory scientists designed a recyclable polymer for carbon-fiber composites to enable circular manufacturing of parts that boost energy efficiency in automotive, wind power and aerospace applications.
Researchers at ORNL have developed an online tool that offers industrial plants an easier way to track and download information about their energy footprint and carbon emissions.
A multi-lab research team led by ORNL's Paul Kent is developing a computer application called QMCPACK to enable precise and reliable predictions of the fundamental properties of materials critical in energy research.
Scientists at Oak Ridge National Laboratory are closer to unlocking the secrets to better soil carbon sequestration by studying the tiny, sand-like silicon deposits called phytoliths in plants.
Oak Ridge National Laboratory researchers developed an invertible neural network, a type of artificial intelligence that mimics the human brain, to improve accuracy in climate-change models and predictions.
Measuring water quality throughout river networks with precision, speed and at lower cost than traditional methods is now possible with AquaBOT, an aquatic drone developed by Oak Ridge National Laboratory.
Oak Ridge National Laboratory scientists worked with the Colorado School of Mines and Baylor University to develop and test control methods for autonomous water treatment plants that use less energy and generate less waste.
Oak Ridge National Laboratory researchers recently used large-scale additive manufacturing with metal to produce a full-strength steel component for a wind turbine, proving the technique as a viable alternative to