Filter News
Area of Research
- (-) Biology and Environment (25)
- (-) Supercomputing (84)
- Advanced Manufacturing (23)
- Building Technologies (1)
- Clean Energy (146)
- Computer Science (6)
- Electricity and Smart Grid (3)
- Functional Materials for Energy (2)
- Fusion and Fission (31)
- Fusion Energy (15)
- Isotope Development and Production (1)
- Isotopes (7)
- Materials (173)
- Materials Characterization (2)
- Materials for Computing (21)
- Materials Under Extremes (1)
- National Security (17)
- Neutron Science (50)
- Nuclear Science and Technology (19)
- Quantum information Science (9)
- Sensors and Controls (1)
- Transportation Systems (1)
News Topics
- (-) 3-D Printing/Advanced Manufacturing (13)
- (-) Frontier (29)
- (-) Fusion (2)
- (-) Grid (7)
- (-) Materials (24)
- (-) Materials Science (22)
- (-) Physics (9)
- (-) Quantum Science (24)
- (-) Space Exploration (3)
- Advanced Reactors (2)
- Artificial Intelligence (40)
- Big Data (25)
- Bioenergy (49)
- Biology (75)
- Biomedical (28)
- Biotechnology (14)
- Buildings (6)
- Chemical Sciences (14)
- Clean Water (11)
- Climate Change (51)
- Composites (5)
- Computer Science (104)
- Coronavirus (22)
- Critical Materials (4)
- Cybersecurity (9)
- Decarbonization (22)
- Energy Storage (11)
- Environment (102)
- Exascale Computing (25)
- High-Performance Computing (52)
- Hydropower (8)
- Isotopes (3)
- Machine Learning (18)
- Mathematics (3)
- Mercury (7)
- Microscopy (16)
- Molten Salt (1)
- Nanotechnology (16)
- National Security (9)
- Net Zero (3)
- Neutron Science (16)
- Nuclear Energy (5)
- Partnerships (5)
- Polymers (4)
- Quantum Computing (19)
- Renewable Energy (1)
- Security (5)
- Simulation (24)
- Software (1)
- Summit (46)
- Sustainable Energy (35)
- Transformational Challenge Reactor (1)
- Transportation (8)
Media Contacts
A team from ORNL, Stanford University and Purdue University developed and demonstrated a novel, fully functional quantum local area network, or QLAN, to enable real-time adjustments to information shared with geographically isolated systems at ORNL
The Department of Energy’s Office of Science has selected five Oak Ridge National Laboratory scientists for Early Career Research Program awards.
At the Department of Energy’s Oak Ridge National Laboratory, scientists use artificial intelligence, or AI, to accelerate the discovery and development of materials for energy and information technologies.
The U.S. Department of Energy’s Innovative and Novel Computational Impact on Theory and Experiment, or INCITE, program is seeking proposals for high-impact, computationally intensive research campaigns in a broad array of science, engineering and computer science domains.
Twenty-seven ORNL researchers Zoomed into 11 middle schools across Tennessee during the annual Engineers Week in February. East Tennessee schools throughout Oak Ridge and Roane, Sevier, Blount and Loudon counties participated, with three West Tennessee schools joining in.
To better understand the spread of SARS-CoV-2, the virus that causes COVID-19, Oak Ridge National Laboratory researchers have harnessed the power of supercomputers to accurately model the spike protein that binds the novel coronavirus to a human cell receptor.
A multi-institutional team became the first to generate accurate results from materials science simulations on a quantum computer that can be verified with neutron scattering experiments and other practical techniques.
Since the 1930s, scientists have been using particle accelerators to gain insights into the structure of matter and the laws of physics that govern our world.
Six scientists at the Department of Energy’s Oak Ridge National Laboratory were named Battelle Distinguished Inventors, in recognition of obtaining 14 or more patents during their careers at the lab.
Six ORNL scientists have been elected as fellows to the American Association for the Advancement of Science, or AAAS.