Filter News
Area of Research
- (-) Neutron Science (36)
- (-) Supercomputing (120)
- Advanced Manufacturing (8)
- Biology and Environment (71)
- Biology and Soft Matter (1)
- Building Technologies (1)
- Clean Energy (94)
- Climate and Environmental Systems (3)
- Computational Biology (1)
- Computational Engineering (3)
- Computer Science (16)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (1)
- Fusion and Fission (13)
- Fusion Energy (9)
- Isotope Development and Production (1)
- Isotopes (26)
- Materials (126)
- Materials Characterization (1)
- Materials for Computing (22)
- Materials Under Extremes (1)
- Mathematics (1)
- National Security (41)
- Nuclear Science and Technology (21)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (8)
- Transportation Systems (1)
News Topics
- (-) Advanced Reactors (2)
- (-) Climate Change (17)
- (-) Computer Science (98)
- (-) Cybersecurity (9)
- (-) Isotopes (1)
- (-) Machine Learning (16)
- (-) Materials Science (33)
- (-) Microscopy (8)
- (-) Polymers (3)
- (-) Space Exploration (5)
- 3-D Printing/Advanced Manufacturing (10)
- Artificial Intelligence (39)
- Big Data (20)
- Bioenergy (13)
- Biology (14)
- Biomedical (25)
- Biotechnology (2)
- Buildings (4)
- Chemical Sciences (6)
- Clean Water (2)
- Composites (1)
- Coronavirus (17)
- Critical Materials (3)
- Decarbonization (7)
- Energy Storage (14)
- Environment (28)
- Exascale Computing (22)
- Fossil Energy (1)
- Frontier (29)
- Fusion (2)
- Grid (5)
- High-Performance Computing (39)
- Materials (28)
- Mathematics (1)
- Molten Salt (1)
- Nanotechnology (19)
- National Security (8)
- Net Zero (1)
- Neutron Science (101)
- Nuclear Energy (7)
- Partnerships (1)
- Physics (16)
- Quantum Computing (19)
- Quantum Science (29)
- Security (6)
- Simulation (14)
- Software (1)
- Summit (42)
- Sustainable Energy (11)
- Transportation (10)
Media Contacts
ORNL hosted its annual Smoky Mountains Computational Sciences and Engineering Conference in person for the first time since the COVID-19 pandemic.
The Department of Energy’s Oak Ridge National Laboratory hosted its Smoky Mountains Computational Science and Engineering Conference for the first time in person since the COVID pandemic broke in 2020. The conference, which celebrated its 20th consecutive year, took place at the Crowne Plaza Hotel in downtown Knoxville, Tenn., in late August.
Researchers from Oak Ridge National Laboratory and Northeastern University modeled how extreme conditions in a changing climate affect the land’s ability to absorb atmospheric carbon — a key process for mitigating human-caused emissions. They found that 88% of Earth’s regions could become carbon emitters by the end of the 21st century.
Neutron experiments can take days to complete, requiring researchers to work long shifts to monitor progress and make necessary adjustments. But thanks to advances in artificial intelligence and machine learning, experiments can now be done remotely and in half the time.
Wildfires have shaped the environment for millennia, but they are increasing in frequency, range and intensity in response to a hotter climate. The phenomenon is being incorporated into high-resolution simulations of the Earth’s climate by scientists at the Department of Energy’s Oak Ridge National Laboratory, with a mission to better understand and predict environmental change.
As extreme weather devastates communities worldwide, scientists are using modeling and simulation to understand how climate change impacts the frequency and intensity of these events. Although long-term climate projections and models are important, they are less helpful for short-term prediction of extreme weather that may rapidly displace thousands of people or require emergency aid.
Simulations performed on the Summit supercomputer at ORNL revealed new insights into the role of turbulence in mixing fluids and could open new possibilities for projecting climate change and studying fluid dynamics.
A study led by researchers at ORNL could uncover new ways to produce more powerful, longer-lasting batteries and memory devices.
Computing pioneer Jack Dongarra has been elected to the National Academy of Sciences in recognition of his distinguished and continuing achievements in original research.
Researchers at ORNL have developed a machine-learning inspired software package that provides end-to-end image analysis of electron and scanning probe microscopy images.