Filter News
Area of Research
- (-) Clean Energy (22)
- (-) Neutron Science (9)
- Advanced Manufacturing (2)
- Biology and Environment (18)
- Climate and Environmental Systems (1)
- Computational Engineering (1)
- Computer Science (3)
- Fusion and Fission (1)
- Isotopes (7)
- Materials (20)
- Materials for Computing (3)
- National Security (12)
- Nuclear Science and Technology (3)
- Quantum information Science (1)
- Supercomputing (37)
News Topics
- (-) Artificial Intelligence (5)
- (-) Clean Water (1)
- (-) Computer Science (13)
- (-) Environment (14)
- (-) Isotopes (1)
- 3-D Printing/Advanced Manufacturing (30)
- Advanced Reactors (3)
- Big Data (2)
- Bioenergy (15)
- Biology (9)
- Biomedical (7)
- Biotechnology (3)
- Buildings (8)
- Chemical Sciences (10)
- Climate Change (7)
- Composites (6)
- Coronavirus (9)
- Critical Materials (4)
- Cybersecurity (4)
- Decarbonization (10)
- Energy Storage (26)
- Exascale Computing (2)
- Fossil Energy (1)
- Frontier (2)
- Fusion (2)
- Grid (9)
- High-Performance Computing (3)
- Machine Learning (4)
- Materials (21)
- Materials Science (23)
- Mercury (1)
- Microscopy (4)
- Molten Salt (1)
- Nanotechnology (10)
- National Security (5)
- Net Zero (1)
- Neutron Science (40)
- Nuclear Energy (4)
- Partnerships (8)
- Physics (8)
- Polymers (5)
- Quantum Science (4)
- Renewable Energy (1)
- Security (4)
- Simulation (1)
- Space Exploration (1)
- Summit (5)
- Sustainable Energy (24)
- Transformational Challenge Reactor (3)
- Transportation (18)
Media Contacts
ORNL has been selected to lead an Energy Earthshot Research Center, or EERC, focused on developing chemical processes that use sustainable methods instead of burning fossil fuels to radically reduce industrial greenhouse gas emissions to stem climate change and limit the crisis of a rapidly warming planet.
Paul Langan will join ORNL in the spring as associate laboratory director for the Biological and Environmental Systems Science Directorate.
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.
Five technologies invented by scientists at the Department of Energy’s Oak Ridge National Laboratory have been selected for targeted investment through ORNL’s Technology Innovation Program.
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.
Nearly a billion acres of land in the United States is dedicated to agriculture, producing more than a trillion dollars of food products to feed the country and the world. Those same agricultural processes, however, also produced an estimated 700 million metric tons of carbon dioxide equivalent in 2018, according to the U.S. Department of Agriculture.
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.