Filter News
Area of Research
- Advanced Manufacturing (1)
- Biological Systems (1)
- Biology and Environment (8)
- Clean Energy (17)
- Climate and Environmental Systems (1)
- Computational Biology (1)
- Computational Engineering (1)
- Computer Science (9)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (1)
- Fusion and Fission (1)
- Isotopes (2)
- Materials (13)
- Materials for Computing (3)
- National Security (13)
- Neutron Science (7)
- Nuclear Science and Technology (2)
- Quantum information Science (3)
- Supercomputing (42)
News Topics
- (-) Artificial Intelligence (26)
- (-) Big Data (16)
- (-) Biomedical (11)
- (-) Computer Science (55)
- (-) Molten Salt (1)
- (-) Security (6)
- (-) Space Exploration (8)
- 3-D Printing/Advanced Manufacturing (27)
- Advanced Reactors (11)
- Bioenergy (28)
- Biology (28)
- Biotechnology (4)
- Buildings (16)
- Chemical Sciences (15)
- Clean Water (10)
- Climate Change (26)
- Composites (5)
- Coronavirus (9)
- Critical Materials (4)
- Cybersecurity (12)
- Decarbonization (21)
- Element Discovery (1)
- Energy Storage (33)
- Environment (55)
- Exascale Computing (10)
- Fossil Energy (1)
- Frontier (12)
- Fusion (12)
- Grid (18)
- High-Performance Computing (16)
- Hydropower (8)
- Irradiation (1)
- Isotopes (5)
- ITER (2)
- Machine Learning (15)
- Materials (37)
- Materials Science (36)
- Mercury (2)
- Microscopy (18)
- Nanotechnology (15)
- National Security (17)
- Net Zero (2)
- Neutron Science (30)
- Nuclear Energy (27)
- Partnerships (8)
- Physics (16)
- Polymers (7)
- Quantum Computing (7)
- Quantum Science (19)
- Simulation (6)
- Summit (16)
- Sustainable Energy (33)
- Transformational Challenge Reactor (2)
- Transportation (22)
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.
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.
To study how space radiation affects materials for spacecraft and satellites, Oak Ridge National Laboratory scientists sent samples to the International Space Station. The results will inform design of radiation-resistant magnetic and electronic systems.
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.
More than 50 current employees and recent retirees from ORNL received Department of Energy Secretary’s Honor Awards from Secretary Jennifer Granholm in January as part of project teams spanning the national laboratory system. The annual awards recognized 21 teams and three individuals for service and contributions to DOE’s mission and to the benefit of the nation.
To explore the inner workings of severe acute respiratory syndrome coronavirus 2, or SARS-CoV-2, researchers from ORNL developed a novel technique.
A new version of the Energy Exascale Earth System Model, or E3SM, is two times faster than an earlier version released in 2018.
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.
A research team from Oak Ridge National Laboratory has identified and improved the usability of data that can help accelerate innovation for the growing bioeconomy.
For nearly three decades, scientists and engineers across the globe have worked on the Square Kilometre Array (SKA), a project focused on designing and building the world’s largest radio telescope. Although the SKA will collect enormous amounts of precise astronomical data in record time, scientific breakthroughs will only be possible with systems able to efficiently process that data.