Filter News
Area of Research
- (-) Biology and Environment (22)
- Advanced Manufacturing (3)
- Clean Energy (26)
- Computational Biology (2)
- Computational Engineering (2)
- Computer Science (7)
- Electricity and Smart Grid (1)
- Fuel Cycle Science and Technology (1)
- Functional Materials for Energy (1)
- Fusion and Fission (29)
- Fusion Energy (11)
- Isotope Development and Production (1)
- Isotopes (4)
- Materials (28)
- Materials for Computing (2)
- National Security (30)
- Neutron Science (17)
- Nuclear Science and Technology (36)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Sensors and Controls (1)
- Supercomputing (78)
News Topics
- (-) Artificial Intelligence (9)
- (-) Machine Learning (8)
- (-) Nuclear Energy (1)
- (-) Security (2)
- (-) Summit (10)
- 3-D Printing/Advanced Manufacturing (11)
- Advanced Reactors (1)
- Big Data (9)
- Bioenergy (45)
- Biology (73)
- Biomedical (16)
- Biotechnology (13)
- Buildings (2)
- Chemical Sciences (11)
- Clean Water (11)
- Climate Change (40)
- Composites (5)
- Computer Science (19)
- Coronavirus (13)
- Critical Materials (1)
- Cybersecurity (1)
- Decarbonization (19)
- Energy Storage (7)
- Environment (89)
- Exascale Computing (4)
- Frontier (3)
- Fusion (1)
- Grid (3)
- High-Performance Computing (20)
- Hydropower (8)
- Isotopes (2)
- Materials (12)
- Materials Science (6)
- Mathematics (3)
- Mercury (7)
- Microscopy (10)
- Molten Salt (1)
- Nanotechnology (7)
- National Security (3)
- Net Zero (2)
- Neutron Science (4)
- Partnerships (5)
- Physics (2)
- Polymers (2)
- Renewable Energy (1)
- Simulation (14)
- Sustainable Energy (30)
- Transformational Challenge Reactor (1)
- Transportation (3)
Media Contacts
ORNL scientists had a problem mapping the genomes of bacteria to better understand the origins of their physical traits and improve their function for bioenergy production.
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.
Scientists have developed a novel approach to computationally infer previously undetected behaviors within complex biological environments by analyzing live, time-lapsed images that show the positioning of embryonic cells in C. elegans, or roundworms. Their published methods could be used to reveal hidden biological activity.
A team of scientists led by the Department of Energy’s Oak Ridge National Laboratory and the Georgia Institute of Technology is using supercomputing and revolutionary deep learning tools to predict the structures and roles of thousands of proteins with unknown functions.
Improved data, models and analyses from ORNL scientists and many other researchers in the latest global climate assessment report provide new levels of certainty about what the future holds for the planet
The Accelerating Therapeutics for Opportunities in Medicine , or ATOM, consortium today announced the U.S. Department of Energy’s Oak Ridge, Argonne and Brookhaven national laboratories are joining the consortium to further develop ATOM’s artificial intelligence, or AI-driven, drug discovery platform.
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.
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.
A team led by Dan Jacobson of Oak Ridge National Laboratory used the Summit supercomputer at ORNL to analyze genes from cells in the lung fluid of nine COVID-19 patients compared with 40 control patients.
With the rise of the global pandemic, Omar Demerdash, a Liane B. Russell Distinguished Staff Fellow at ORNL since 2018, has become laser-focused on potential avenues to COVID-19 therapies.