Filter News
Area of Research
- (-) Electricity and Smart Grid (3)
- (-) Fusion and Fission (9)
- (-) Materials (58)
- (-) Neutron Science (21)
- Advanced Manufacturing (2)
- Biology and Environment (55)
- Biology and Soft Matter (1)
- Clean Energy (77)
- Climate and Environmental Systems (2)
- Computational Biology (1)
- Computational Engineering (2)
- Computer Science (11)
- Energy Frontier Research Centers (1)
- Functional Materials for Energy (1)
- Fusion Energy (7)
- Isotopes (1)
- Materials for Computing (10)
- Mathematics (1)
- National Security (24)
- Nuclear Science and Technology (11)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (9)
- Sensors and Controls (1)
- Supercomputing (82)
News Topics
- (-) Advanced Reactors (11)
- (-) Artificial Intelligence (13)
- (-) Climate Change (5)
- (-) Grid (8)
- (-) Nanotechnology (43)
- (-) Quantum Science (15)
- 3-D Printing/Advanced Manufacturing (30)
- Big Data (3)
- Bioenergy (15)
- Biology (9)
- Biomedical (18)
- Biotechnology (1)
- Buildings (5)
- Chemical Sciences (35)
- Clean Water (4)
- Composites (9)
- Computer Science (25)
- Coronavirus (11)
- Critical Materials (13)
- Cybersecurity (5)
- Decarbonization (11)
- Energy Storage (39)
- Environment (23)
- Exascale Computing (3)
- Fossil Energy (2)
- Frontier (5)
- Fusion (27)
- High-Performance Computing (8)
- Irradiation (1)
- Isotopes (14)
- ITER (6)
- Machine Learning (7)
- Materials (80)
- Materials Science (87)
- Mathematics (1)
- Microelectronics (1)
- Microscopy (27)
- Molten Salt (3)
- National Security (4)
- Net Zero (2)
- Neutron Science (106)
- Nuclear Energy (44)
- Partnerships (13)
- Physics (32)
- Polymers (18)
- Quantum Computing (4)
- Renewable Energy (1)
- Security (4)
- Simulation (4)
- Space Exploration (5)
- Summit (6)
- Sustainable Energy (18)
- Transformational Challenge Reactor (3)
- Transportation (21)
Media Contacts
Researchers from ORNL, the University of Tennessee at Chattanooga and Tuskegee University used mathematics to predict which areas of the SARS-CoV-2 spike protein are most likely to mutate.
Researchers at the Department of Energy’s Oak Ridge National Laboratory and their technologies have received seven 2022 R&D 100 Awards, plus special recognition for a battery-related green technology product.
Oak Ridge National Laboratory researchers are developing a first-of-its-kind artificial intelligence device for neutron scattering called Hyperspectral Computed Tomography, or HyperCT.
Scientists at ORNL used neutron scattering to determine whether a specific material’s atomic structure could host a novel state of matter called a spiral spin liquid.
Researchers at ORNL are teaching microscopes to drive discoveries with an intuitive algorithm, developed at the lab’s Center for Nanophase Materials Sciences, that could guide breakthroughs in new materials for energy technologies, sensing and computing.
A study led by researchers at ORNL could help make materials design as customizable as point-and-click.
ORNL and the Tennessee Valley Authority, or TVA, are joining forces to advance decarbonization technologies from discovery through deployment through a new memorandum of understanding, or MOU.
ORNL, TVA and TNECD were recognized by the Federal Laboratory Consortium for their impactful partnership that resulted in a record $2.3 billion investment by Ultium Cells, a General Motors and LG Energy Solution joint venture, to build a battery cell manufacturing plant in Spring Hill, Tennessee.
Ten scientists from the Department of Energy’s Oak Ridge National Laboratory are among the world’s most highly cited researchers, according to a bibliometric analysis conducted by the scientific publication analytics firm Clarivate.
A team led by the U.S. Department of Energy’s Oak Ridge National Laboratory demonstrated the viability of a “quantum entanglement witness” capable of proving the presence of entanglement between magnetic particles, or spins, in a quantum material.