Filter News
Area of Research
- Biology and Environment (38)
- Biology and Soft Matter (1)
- Clean Energy (45)
- Climate and Environmental Systems (1)
- Computational Biology (1)
- Computer Science (1)
- Electricity and Smart Grid (1)
- Fusion and Fission (6)
- Materials (15)
- Materials for Computing (3)
- National Security (24)
- Neutron Science (9)
- Nuclear Science and Technology (5)
- Supercomputing (37)
News Type
News Topics
- (-) Advanced Reactors (8)
- (-) Artificial Intelligence (46)
- (-) Clean Water (14)
- (-) Climate Change (48)
- (-) Cybersecurity (14)
- (-) Grid (23)
- (-) Machine Learning (22)
- (-) Molten Salt (1)
- (-) Security (11)
- (-) Transportation (27)
- 3-D Printing/Advanced Manufacturing (37)
- Big Data (22)
- Bioenergy (50)
- Biology (58)
- Biomedical (28)
- Biotechnology (11)
- Buildings (18)
- Chemical Sciences (22)
- Composites (6)
- Computer Science (82)
- Coronavirus (17)
- Critical Materials (2)
- Decarbonization (45)
- Education (1)
- Emergency (2)
- Energy Storage (28)
- Environment (101)
- Exascale Computing (25)
- Fossil Energy (4)
- Frontier (24)
- Fusion (30)
- High-Performance Computing (43)
- Hydropower (5)
- Isotopes (27)
- ITER (2)
- Materials (41)
- Materials Science (44)
- Mathematics (6)
- Mercury (7)
- Microelectronics (2)
- Microscopy (20)
- Nanotechnology (16)
- National Security (35)
- Net Zero (8)
- Neutron Science (47)
- Nuclear Energy (54)
- Partnerships (16)
- Physics (28)
- Polymers (8)
- Quantum Computing (20)
- Quantum Science (30)
- Renewable Energy (1)
- Simulation (30)
- Software (1)
- Space Exploration (12)
- Summit (30)
- Sustainable Energy (43)
- Transformational Challenge Reactor (3)
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.
ORNL's Climate Change Science Institute and the Georgia Institute of Technology hosted a Southeast Decarbonization Workshop in November that drew scientists and representatives from government, industry, non-profits and other organizations to
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.
A type of peat moss has surprised scientists with its climate resilience: Sphagnum divinum is actively speciating in response to hot, dry conditions.
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.