Filter News
Area of Research
- (-) Clean Energy (51)
- (-) Supercomputing (24)
- Advanced Manufacturing (1)
- Biology and Environment (34)
- Computer Science (1)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (1)
- Fusion and Fission (8)
- Isotopes (19)
- Materials (45)
- Materials for Computing (6)
- National Security (18)
- Neutron Science (15)
- Nuclear Science and Technology (8)
- Quantum information Science (2)
News Type
News Topics
- (-) Advanced Reactors (4)
- (-) Biotechnology (2)
- (-) Clean Water (3)
- (-) Composites (4)
- (-) Cybersecurity (9)
- (-) Isotopes (1)
- (-) Machine Learning (9)
- (-) Microscopy (7)
- (-) Nanotechnology (10)
- (-) Space Exploration (3)
- (-) Transportation (29)
- 3-D Printing/Advanced Manufacturing (37)
- Artificial Intelligence (26)
- Big Data (17)
- Bioenergy (15)
- Biology (11)
- Biomedical (11)
- Buildings (17)
- Chemical Sciences (8)
- Climate Change (22)
- Computer Science (57)
- Coronavirus (15)
- Critical Materials (2)
- Decarbonization (21)
- Energy Storage (35)
- Environment (38)
- Exascale Computing (14)
- Fossil Energy (1)
- Frontier (16)
- Fusion (1)
- Grid (16)
- High-Performance Computing (26)
- Materials (19)
- Materials Science (21)
- Mathematics (2)
- Mercury (1)
- Microelectronics (1)
- Molten Salt (1)
- National Security (5)
- Net Zero (2)
- Neutron Science (11)
- Nuclear Energy (5)
- Partnerships (5)
- Physics (4)
- Polymers (3)
- Quantum Computing (11)
- Quantum Science (12)
- Security (4)
- Simulation (12)
- Software (1)
- Summit (23)
- Sustainable Energy (22)
- Transformational Challenge Reactor (1)
Media Contacts
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.
Burak Ozpineci started out at ORNL working on a novel project: introducing silicon carbide into power electronics for more efficient electric vehicles. Twenty years later, the car he drives contains those same components.
A world-leading researcher in solid electrolytes and sophisticated electron microscopy methods received Oak Ridge National Laboratory’s top science honor today for her work in developing new materials for batteries. The announcement was made during a livestreamed Director’s Awards event hosted by ORNL Director Thomas Zacharia.
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.
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.
The daily traffic congestion along the streets and interstate lanes of Chattanooga could be headed the way of the horse and buggy with help from ORNL researchers.
Four first-of-a-kind 3D-printed fuel assembly brackets, produced at the Department of Energy’s Manufacturing Demonstration Facility at Oak Ridge National Laboratory, have been installed and are now under routine operating
Ross Wang has been intent on resolving traffic jams since he rode a city bus every day through 40 minutes of traffic to get to his elementary school. That daily journey left an impression that would shape his career.
Consumer buy-in is key to the future of a decarbonized transportation sector in which electric vehicles largely replace today’s conventionally fueled cars and trucks.
At the Department of Energy’s Oak Ridge National Laboratory, scientists use artificial intelligence, or AI, to accelerate the discovery and development of materials for energy and information technologies.