Filter News
Area of Research
- Advanced Manufacturing (2)
- Biology and Environment (14)
- Clean Energy (56)
- Computer Science (5)
- Electricity and Smart Grid (1)
- Energy Frontier Research Centers (1)
- Fuel Cycle Science and Technology (1)
- Functional Materials for Energy (2)
- Fusion and Fission (15)
- Fusion Energy (1)
- Isotope Development and Production (1)
- Isotopes (2)
- Materials (62)
- Materials for Computing (6)
- National Security (14)
- Neutron Science (49)
- Nuclear Science and Technology (11)
- Quantum information Science (2)
- Sensors and Controls (1)
- Supercomputing (39)
News Type
News Topics
- (-) Artificial Intelligence (29)
- (-) Energy Storage (43)
- (-) Machine Learning (13)
- (-) Nanotechnology (28)
- (-) Neutron Science (56)
- (-) Nuclear Energy (32)
- (-) Quantum Science (29)
- (-) Security (11)
- (-) Transportation (29)
- 3-D Printing/Advanced Manufacturing (49)
- Advanced Reactors (12)
- Big Data (10)
- Bioenergy (24)
- Biology (23)
- Biomedical (18)
- Biotechnology (7)
- Buildings (15)
- Chemical Sciences (30)
- Clean Water (1)
- Climate Change (23)
- Composites (10)
- Computer Science (60)
- Coronavirus (17)
- Critical Materials (10)
- Cybersecurity (18)
- Decarbonization (20)
- Education (3)
- Element Discovery (1)
- Environment (42)
- Exascale Computing (12)
- Fossil Energy (1)
- Frontier (16)
- Fusion (14)
- Grid (17)
- High-Performance Computing (30)
- Irradiation (1)
- Isotopes (18)
- ITER (2)
- Materials (67)
- Materials Science (53)
- Mercury (2)
- Microscopy (18)
- Molten Salt (2)
- National Security (18)
- Net Zero (3)
- Partnerships (26)
- Physics (24)
- Polymers (13)
- Quantum Computing (9)
- Renewable Energy (1)
- Simulation (11)
- Software (1)
- Space Exploration (3)
- Statistics (1)
- Summit (21)
- Sustainable Energy (35)
- Transformational Challenge Reactor (4)
Media Contacts
ORNL has named W. David Pointer, director of the Nuclear Energy and Fuel Cycle Division in ORNL’s Fusion and Fission Energy and Science Directorate. As director, Pointer will lead a world-class team of ORNL research professionals focused on addressing the challenges and opportunities presented by current and future nuclear energy systems.
ORNL's Scott Curran, group leader for Fuel Science and Engine Technologies Research, has been named a fellow of SAE International and ASME.
Thomas Proffen, a neutron scattering scientist at ORNL and founder of Oak Ridge Computer Science Girls, was recognized with an award from the National Center for Women & Information Technology, or NCWIT. In addition, one of his students received a national honor from the organization.
Rigoberto “Gobet” Advincula, a scientist with joint appointments at ORNL and the University of Tennessee, has been named a Fellow of the American Institute for Medical and Biological Engineering.
The Neutron Scattering Society of America, or NSSA, recognized Oak Ridge National Laboratory’s Ke An and Ken Herwig as fellows for their outstanding contributions to neutron scattering.
ORNL researchers are working to make EV charging more resilient by developing algorithms to deal with both internal and external triggers of charger failure. This will help charging stations remain available to traveling EV drivers, reducing range anxiety.
ORNL was front and center recently at one of the world’s largest optical networking conferences, the 2024 Optic Fiber Communication Conference and Exhibition, or OFC. ORNL researchers had major roles at the OFC 2024, a three-day event held in San Diego, California from March 26-28 which featured thousands of the world’s leading optical communications and networking professionals.
Jens Dilling has been named associate laboratory director for the Neutron Sciences Directorate at the Department of Energy’s Oak Ridge National Laboratory, effective April 1.
The Department of Energy’s Oak Ridge National Laboratory is providing national leadership in a new collaboration among five national laboratories to accelerate U.S. production of clean hydrogen fuel cells and electrolyzers.
In partnership with the National Cancer Institute, researchers from ORNL and Louisiana State University developed a long-sequenced AI transformer capable of processing millions of pathology reports to provide experts researching cancer diagnoses and management with exponentially more accurate information on cancer reporting.