Filter News
Area of Research
- (-) Clean Energy (16)
- (-) Neutron Science (15)
- Advanced Manufacturing (3)
- Biology and Environment (9)
- Computational Engineering (1)
- Computer Science (3)
- Fuel Cycle Science and Technology (1)
- Fusion and Fission (14)
- Fusion Energy (1)
- Isotope Development and Production (1)
- Isotopes (2)
- Materials (32)
- Materials for Computing (2)
- National Security (18)
- Nuclear Science and Technology (11)
- Quantum information Science (1)
- Supercomputing (42)
News Type
News Topics
- (-) Artificial Intelligence (5)
- (-) Computer Science (14)
- (-) Nuclear Energy (4)
- (-) Physics (8)
- 3-D Printing/Advanced Manufacturing (40)
- Advanced Reactors (3)
- Big Data (3)
- Bioenergy (17)
- Biology (10)
- Biomedical (8)
- Biotechnology (3)
- Buildings (14)
- Chemical Sciences (10)
- Clean Water (2)
- Climate Change (9)
- Composites (6)
- Coronavirus (13)
- Critical Materials (5)
- Cybersecurity (6)
- Decarbonization (18)
- Energy Storage (37)
- Environment (20)
- Exascale Computing (2)
- Fossil Energy (1)
- Frontier (2)
- Fusion (2)
- Grid (15)
- High-Performance Computing (3)
- Isotopes (1)
- Machine Learning (4)
- Materials (23)
- Materials Science (24)
- Mathematics (1)
- Mercury (2)
- Microscopy (5)
- Molten Salt (1)
- Nanotechnology (10)
- National Security (6)
- Net Zero (2)
- Neutron Science (45)
- Partnerships (8)
- Polymers (5)
- Quantum Science (4)
- Renewable Energy (1)
- Security (6)
- Simulation (1)
- Space Exploration (1)
- Summit (6)
- Sustainable Energy (30)
- Transformational Challenge Reactor (3)
- Transportation (28)
Media Contacts
Like most scientists, Chengping Chai is not content with the surface of things: He wants to probe beyond to learn what’s really going on. But in his case, he is literally building a map of the world beneath, using seismic and acoustic data that reveal when and where the earth moves.
While studying how bio-inspired materials might inform the design of next-generation computers, scientists at ORNL achieved a first-of-its-kind result that could have big implications for both edge computing and human health.
Laboratory Director Thomas Zacharia presented five Director’s Awards during Saturday night's annual Awards Night event hosted by UT-Battelle, which manages ORNL for the Department of Energy.
Two years after ORNL provided a model of nearly every building in America, commercial partners are using the tool for tasks ranging from designing energy-efficient buildings and cities to linking energy efficiency to real estate value and risk.
To solve a long-standing puzzle about how long a neutron can “live” outside an atomic nucleus, physicists entertained a wild but testable theory positing the existence of a right-handed version of our left-handed universe.
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.
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.
Using complementary computing calculations and neutron scattering techniques, researchers from the Department of Energy’s Oak Ridge and Lawrence Berkeley national laboratories and the University of California, Berkeley, discovered the existence of an elusive type of spin dynamics in a quantum mechanical system.
The COHERENT particle physics experiment at the Department of Energy’s Oak Ridge National Laboratory has firmly established the existence of a new kind of neutrino interaction.