Filter News
Area of Research
- Biology and Environment (36)
- Clean Energy (36)
- Computational Biology (1)
- Computer Science (2)
- Electricity and Smart Grid (1)
- Fusion and Fission (20)
- Fusion Energy (4)
- Isotopes (2)
- Materials (21)
- Materials for Computing (4)
- National Security (19)
- Neutron Science (10)
- Nuclear Science and Technology (17)
- Quantum information Science (4)
- Supercomputing (55)
News Type
News Topics
- (-) Clean Water (14)
- (-) Computer Science (76)
- (-) Grid (21)
- (-) Machine Learning (19)
- (-) Nuclear Energy (49)
- (-) Quantum Science (24)
- (-) Sustainable Energy (37)
- 3-D Printing/Advanced Manufacturing (33)
- Advanced Reactors (6)
- Artificial Intelligence (38)
- Big Data (21)
- Bioenergy (46)
- Biology (53)
- Biomedical (26)
- Biotechnology (9)
- Buildings (16)
- Chemical Sciences (19)
- Climate Change (44)
- Composites (5)
- Coronavirus (17)
- Critical Materials (1)
- Cybersecurity (14)
- Decarbonization (39)
- Emergency (2)
- Energy Storage (28)
- Environment (98)
- Exascale Computing (21)
- Fossil Energy (3)
- Frontier (19)
- Fusion (27)
- High-Performance Computing (38)
- Hydropower (5)
- Isotopes (23)
- ITER (2)
- Materials (37)
- Materials Science (37)
- Mathematics (5)
- Mercury (7)
- Microelectronics (2)
- Microscopy (19)
- Molten Salt (1)
- Nanotechnology (16)
- National Security (30)
- Net Zero (6)
- Neutron Science (43)
- Partnerships (11)
- Physics (25)
- Polymers (7)
- Quantum Computing (15)
- Renewable Energy (1)
- Security (10)
- Simulation (25)
- Software (1)
- Space Exploration (11)
- Summit (29)
- Transformational Challenge Reactor (3)
- Transportation (25)
Media Contacts
Lee's paper at the August conference in Bellevue, Washington, combined weather and power outage data for three states – Texas, Michigan and Hawaii – and used a machine learning model to predict how extreme weather such as thunderstorms, floods and tornadoes would affect local power grids and to estimate the risk for outages. The paper relied on data from the National Weather Service and the U.S. Department of Energy’s Environment for Analysis of Geo-Located Energy Information, or EAGLE-I, database.
Digital twins are exactly what they sound like: virtual models of physical reality that continuously update to reflect changes in the real world.
How do you get water to float in midair? With a WAND2, of course. But it’s hardly magic. In fact, it’s a scientific device used by scientists to study matter.
The first climate scientist to head the Department of Energy’s Office of Science, Dr. Asmeret Asefaw Berhe, recently visited two ORNL-led field research facilities in Minnesota and Alaska to witness how these critically important projects are informing our understanding of the future climate and its impact on communities.
Scientists at ORNL used their knowledge of complex ecosystem processes, energy systems, human dynamics, computational science and Earth-scale modeling to inform the nation’s latest National Climate Assessment, which draws attention to vulnerabilities and resilience opportunities in every region of the country.
The world’s first exascale supercomputer will help scientists peer into the future of global climate change and open a window into weather patterns that could affect the world a generation from now.
Waiting for answers surrounding a healthcare condition can be as stressful as the condition itself. Maria Mahbub, a research collaborator at Oak Ridge National Laboratory, is developing technology that could help providers and patients get answers sooner.
In fiscal year 2023 — Oct. 1–Sept. 30, 2023 — Oak Ridge National Laboratory was awarded more than $8 million in technology maturation funding through the Department of Energy’s Technology Commercialization Fund, or TCF.
The heat is on at this year’s Molten Salt Reactor Workshop – where top research and industry minds are melding to advance development on molten salt technology – at ORNL.
The Department of Energy’s Oak Ridge National Laboratory hosted the second 2023 cohort of the International Atomic Energy Agency’s Lise Meitner Programme in October.