Filter News
Area of Research
- Advanced Manufacturing (1)
- Biology and Environment (23)
- Clean Energy (18)
- Computational Biology (1)
- Computer Science (1)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (1)
- Fusion and Fission (4)
- Isotopes (2)
- Materials (15)
- Materials for Computing (4)
- National Security (11)
- Neutron Science (3)
- Supercomputing (20)
News Topics
- (-) Artificial Intelligence (14)
- (-) Biomedical (6)
- (-) Computer Science (20)
- (-) High-Performance Computing (16)
- (-) Machine Learning (10)
- (-) Microscopy (13)
- (-) Security (4)
- (-) Sustainable Energy (25)
- 3-D Printing/Advanced Manufacturing (12)
- Advanced Reactors (4)
- Big Data (9)
- Bioenergy (19)
- Biology (28)
- Biotechnology (3)
- Buildings (16)
- Chemical Sciences (15)
- Clean Water (5)
- Climate Change (26)
- Composites (3)
- Coronavirus (9)
- Critical Materials (4)
- Cybersecurity (7)
- Decarbonization (21)
- Element Discovery (1)
- Energy Storage (25)
- Environment (36)
- Exascale Computing (8)
- Fossil Energy (1)
- Frontier (10)
- Fusion (7)
- Grid (13)
- Hydropower (8)
- Irradiation (1)
- Isotopes (4)
- ITER (2)
- Materials (37)
- Materials Science (16)
- Mercury (1)
- Nanotechnology (9)
- National Security (17)
- Net Zero (2)
- Neutron Science (12)
- Nuclear Energy (10)
- Partnerships (8)
- Physics (10)
- Polymers (5)
- Quantum Computing (7)
- Quantum Science (9)
- Simulation (6)
- Space Exploration (4)
- Summit (7)
- Transformational Challenge Reactor (2)
- Transportation (10)
Media Contacts
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.
Neuromorphic devices — which emulate the decision-making processes of the human brain — show great promise for solving pressing scientific problems, but building physical systems to realize this potential presents researchers with a significant
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.
To advance sensor technologies, Oak Ridge National Laboratory researchers studied piezoelectric materials, which convert mechanical stress into electrical energy, to see how they could handle bombardment with energetic neutrons.