Filter News
Area of Research
- (-) Clean Energy (26)
- (-) Materials (50)
- (-) Supercomputing (52)
- Advanced Manufacturing (2)
- Biological Systems (1)
- Biology and Environment (15)
- Climate and Environmental Systems (1)
- Computational Biology (1)
- Computational Engineering (1)
- Computer Science (9)
- Electricity and Smart Grid (1)
- Fuel Cycle Science and Technology (1)
- Functional Materials for Energy (1)
- Fusion and Fission (9)
- Fusion Energy (4)
- Isotopes (2)
- Materials for Computing (4)
- National Security (18)
- Neutron Science (36)
- Nuclear Science and Technology (14)
- Quantum information Science (3)
- Sensors and Controls (1)
News Topics
- (-) Artificial Intelligence (17)
- (-) Biomedical (11)
- (-) Computer Science (44)
- (-) Machine Learning (6)
- (-) Microscopy (15)
- (-) Neutron Science (14)
- (-) Nuclear Energy (13)
- (-) Physics (14)
- (-) Security (6)
- 3-D Printing/Advanced Manufacturing (26)
- Advanced Reactors (4)
- Big Data (7)
- Bioenergy (16)
- Biology (8)
- Biotechnology (1)
- Buildings (13)
- Chemical Sciences (11)
- Clean Water (7)
- Climate Change (9)
- Composites (6)
- Coronavirus (6)
- Critical Materials (5)
- Cybersecurity (6)
- Decarbonization (14)
- Energy Storage (29)
- Environment (29)
- Exascale Computing (8)
- Fossil Energy (1)
- Frontier (9)
- Fusion (4)
- Grid (15)
- High-Performance Computing (10)
- Hydropower (1)
- Isotopes (8)
- Materials (29)
- Materials Science (37)
- Mercury (2)
- Molten Salt (1)
- Nanotechnology (19)
- National Security (4)
- Net Zero (1)
- Partnerships (6)
- Polymers (9)
- Quantum Computing (7)
- Quantum Science (12)
- Simulation (5)
- Space Exploration (6)
- Summit (18)
- Sustainable Energy (20)
- Transformational Challenge Reactor (1)
- Transportation (26)
Media Contacts
A team of researchers has developed a novel, machine learning–based technique to explore and identify relationships among medical concepts using electronic health record data across multiple healthcare providers.
A study led by researchers at ORNL could help make materials design as customizable as point-and-click.
Tackling the climate crisis and achieving an equitable clean energy future are among the biggest challenges of our time.
A force within the supercomputing community, Jack Dongarra developed software packages that became standard in the industry, allowing high-performance computers to become increasingly more powerful in recent decades.
A study by researchers at the ORNL takes a fresh look at what could become the first step toward a new generation of solar batteries.
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.
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.