Filter News
Area of Research
- Advanced Manufacturing (6)
- Biology and Environment (14)
- Building Technologies (2)
- Clean Energy (44)
- Climate and Environmental Systems (1)
- Computational Biology (1)
- Computational Engineering (2)
- Computer Science (10)
- Energy Sciences (1)
- Fusion and Fission (2)
- Fusion Energy (6)
- Isotopes (1)
- Materials (20)
- Materials for Computing (6)
- Mathematics (1)
- National Security (2)
- Neutron Science (3)
- Nuclear Science and Technology (2)
- Quantum information Science (3)
- Supercomputing (19)
News Type
News Topics
- (-) Biomedical (11)
- (-) Composites (9)
- (-) Computer Science (40)
- (-) Frontier (1)
- (-) Fusion (9)
- (-) Microscopy (11)
- (-) Polymers (9)
- (-) Sustainable Energy (45)
- 3-D Printing/Advanced Manufacturing (31)
- Advanced Reactors (13)
- Artificial Intelligence (14)
- Big Data (17)
- Bioenergy (16)
- Biology (18)
- Biotechnology (3)
- Buildings (20)
- Chemical Sciences (11)
- Clean Water (13)
- Climate Change (24)
- Coronavirus (11)
- Critical Materials (12)
- Cybersecurity (3)
- Decarbonization (11)
- Energy Storage (31)
- Environment (45)
- Exascale Computing (1)
- Fossil Energy (1)
- Grid (21)
- High-Performance Computing (11)
- Hydropower (6)
- Irradiation (2)
- Isotopes (5)
- ITER (3)
- Machine Learning (12)
- Materials (35)
- Materials Science (34)
- Mathematics (2)
- Mercury (3)
- Molten Salt (5)
- Nanotechnology (12)
- National Security (3)
- Net Zero (2)
- Neutron Science (27)
- Nuclear Energy (19)
- Partnerships (1)
- Physics (4)
- Quantum Computing (4)
- Quantum Science (10)
- Security (1)
- Simulation (7)
- Space Exploration (10)
- Statistics (1)
- Summit (6)
- Transportation (36)
Media Contacts
Researchers at ORNL explored radium’s chemistry to advance cancer treatments using ionizing radiation.
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.
To further the potential benefits of the nation’s hydropower resources, researchers at Oak Ridge National Laboratory have developed and maintain a comprehensive water energy digital platform called HydroSource.
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.
A new Department of Energy report produced by Oak Ridge National Laboratory identifies several supply chain must-haves in maintaining the pivotal role hydropower will play in decarbonizing the nation’s grid.
Oak Ridge National Laboratory researchers demonstrated an electron microscopy technique for imaging lithium in energy storage materials, such as lithium ion batteries, at the atomic scale.
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.
University of Pennsylvania researchers called on computational systems biology expertise at Oak Ridge National Laboratory to analyze large datasets of single-cell RNA sequencing from skin samples afflicted with atopic dermatitis.
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.
Researchers at Oak Ridge National Laboratory are using a novel approach in determining environmental impacts to aquatic species near hydropower facilities, potentially leading to smarter facility designs that can support electrical grid reliability.