Filter News
Area of Research
- (-) Clean Energy (85)
- (-) Nuclear Science and Technology (4)
- (-) Supercomputing (72)
- Advanced Manufacturing (2)
- Biological Systems (2)
- Biology and Environment (71)
- Climate and Environmental Systems (1)
- Computational Biology (1)
- Computational Engineering (2)
- Computer Science (7)
- Electricity and Smart Grid (3)
- Energy Frontier Research Centers (1)
- Functional Materials for Energy (1)
- Fusion and Fission (4)
- Fusion Energy (1)
- Materials (57)
- Materials for Computing (9)
- National Security (22)
- Neutron Science (22)
- Quantum information Science (3)
- Sensors and Controls (1)
News Topics
- (-) Bioenergy (29)
- (-) Grid (42)
- (-) Machine Learning (19)
- (-) Mercury (3)
- (-) Nanotechnology (15)
- (-) Net Zero (4)
- (-) Summit (43)
- (-) Transformational Challenge Reactor (5)
- 3-D Printing/Advanced Manufacturing (82)
- Advanced Reactors (16)
- Artificial Intelligence (41)
- Big Data (24)
- Biology (19)
- Biomedical (24)
- Biotechnology (6)
- Buildings (37)
- Chemical Sciences (16)
- Clean Water (8)
- Climate Change (35)
- Composites (17)
- Computer Science (108)
- Coronavirus (25)
- Critical Materials (12)
- Cybersecurity (15)
- Decarbonization (35)
- Energy Storage (75)
- Environment (68)
- Exascale Computing (23)
- Fossil Energy (2)
- Frontier (28)
- Fusion (10)
- High-Performance Computing (39)
- Hydropower (2)
- Isotopes (6)
- Materials (45)
- Materials Science (43)
- Mathematics (3)
- Microelectronics (1)
- Microscopy (14)
- Molten Salt (5)
- National Security (11)
- Neutron Science (23)
- Nuclear Energy (44)
- Partnerships (12)
- Physics (9)
- Polymers (13)
- Quantum Computing (19)
- Quantum Science (25)
- Renewable Energy (1)
- Security (9)
- Simulation (16)
- Software (1)
- Space Exploration (10)
- Statistics (1)
- Sustainable Energy (71)
- Transportation (69)
Media Contacts
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.
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.
A study led by researchers at ORNL used the nation’s fastest supercomputer to close in on the answer to a central question of modern physics that could help conduct development of the next generation of energy technologies.
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.
To explore the inner workings of severe acute respiratory syndrome coronavirus 2, or SARS-CoV-2, researchers from ORNL developed a novel technique.
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.
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.
The U.S. Department of Energy’s Office of Science announced allocations of supercomputer access to 51 high-impact computational science projects for 2022 through its Innovative and Novel Computational Impact on Theory and Experiment, or INCITE, program.
Having co-developed the power electronics behind ORNL’s compact, high-level wireless power technology for automobiles, Erdem Asa is looking to the skies to apply the same breakthrough to aviation.
When Hope Corsair’s new colleagues at Oak Ridge National Laboratory ask her about her area of expertise, she tells them it’s “context.” Her goal as an energy economist is to make sure ORNL’s breakthroughs have the widest possible