Filter News
Area of Research
- (-) Biology and Environment (40)
- (-) Computational Engineering (1)
- (-) Neutron Science (27)
- Advanced Manufacturing (2)
- Biological Systems (1)
- Clean Energy (50)
- Computational Biology (1)
- Computer Science (1)
- Electricity and Smart Grid (1)
- Energy Frontier Research Centers (1)
- Fuel Cycle Science and Technology (1)
- Fusion and Fission (29)
- Fusion Energy (5)
- Isotope Development and Production (1)
- Isotopes (9)
- Materials (52)
- Materials for Computing (7)
- National Security (22)
- Nuclear Science and Technology (24)
- Quantum information Science (1)
- Supercomputing (65)
News Type
News Topics
- (-) Biomedical (23)
- (-) Clean Water (10)
- (-) Grid (1)
- (-) Machine Learning (9)
- (-) Nanotechnology (15)
- (-) Nuclear Energy (3)
- (-) Space Exploration (2)
- (-) Summit (16)
- 3-D Printing/Advanced Manufacturing (13)
- Advanced Reactors (1)
- Artificial Intelligence (12)
- Big Data (9)
- Bioenergy (39)
- Biology (61)
- Biotechnology (11)
- Buildings (2)
- Chemical Sciences (12)
- Climate Change (31)
- Composites (4)
- Computer Science (29)
- Coronavirus (17)
- Critical Materials (1)
- Cybersecurity (1)
- Decarbonization (19)
- Energy Storage (11)
- Environment (76)
- Exascale Computing (4)
- Fossil Energy (1)
- Frontier (4)
- Fusion (1)
- High-Performance Computing (20)
- Hydropower (5)
- Isotopes (2)
- Materials (21)
- Materials Science (25)
- Mathematics (3)
- Mercury (6)
- Microscopy (12)
- Molten Salt (1)
- National Security (5)
- Net Zero (2)
- Neutron Science (73)
- Partnerships (5)
- Physics (10)
- Polymers (3)
- Quantum Computing (1)
- Quantum Science (5)
- Renewable Energy (1)
- Security (4)
- Simulation (13)
- Sustainable Energy (23)
- Transformational Challenge Reactor (1)
- Transportation (5)
Media Contacts
A new paper published in Nature Communications adds further evidence to the bradykinin storm theory of COVID-19’s viral pathogenesis — a theory that was posited two years ago by a team of researchers at the Department of Energy’s Oak Ridge National Laboratory.
When Hurricane Maria battered Puerto Rico in 2017, winds snapped trees and destroyed homes, while heavy rains transformed streets into rivers. But after the storm passed, the human toll continued to grow as residents struggled without electricity for months. Five years later, power outages remain long and frequent.
Scientists at ORNL have created a miniaturized environment to study the ecosystem around poplar tree roots for insights into plant health and soil carbon sequestration.
ORNL scientists will present new technologies available for licensing during the annual Technology Innovation Showcase. The event is 9 a.m. to 3 p.m. Thursday, June 16, at the Manufacturing Demonstration Facility at ORNL’s Hardin Valley campus.
ORNL researchers used the nation’s fastest supercomputer to map the molecular vibrations of an important but little-studied uranium compound produced during the nuclear fuel cycle for results that could lead to a cleaner, safer world.
ORNL scientists had a problem mapping the genomes of bacteria to better understand the origins of their physical traits and improve their function for bioenergy production.
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.
Spanning no less than three disciplines, Marie Kurz’s title — hydrogeochemist — already gives you a sense of the collaborative, interdisciplinary nature of her research at ORNL.
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.
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.