Filter News
Area of Research
- (-) Neutron Science (34)
- (-) Nuclear Science and Technology (16)
- (-) Supercomputing (125)
- Advanced Manufacturing (22)
- Biology and Environment (117)
- Biology and Soft Matter (1)
- Building Technologies (2)
- Clean Energy (186)
- Climate and Environmental Systems (5)
- Computational Biology (1)
- Computational Engineering (3)
- Computer Science (15)
- Electricity and Smart Grid (3)
- Functional Materials for Energy (1)
- Fusion and Fission (28)
- Fusion Energy (13)
- Isotopes (2)
- Materials (88)
- Materials for Computing (15)
- Mathematics (1)
- National Security (45)
- Quantum information Science (9)
- Sensors and Controls (1)
News Topics
- (-) 3-D Printing/Advanced Manufacturing (13)
- (-) Clean Water (2)
- (-) Computer Science (99)
- (-) Cybersecurity (10)
- (-) Environment (28)
- (-) Fusion (10)
- (-) Grid (5)
- (-) Machine Learning (16)
- (-) Microscopy (8)
- (-) Quantum Science (29)
- Advanced Reactors (12)
- Artificial Intelligence (39)
- Big Data (20)
- Bioenergy (13)
- Biology (14)
- Biomedical (27)
- Biotechnology (2)
- Buildings (4)
- Chemical Sciences (6)
- Climate Change (17)
- Composites (1)
- Coronavirus (17)
- Critical Materials (3)
- Decarbonization (7)
- Energy Storage (14)
- Exascale Computing (22)
- Fossil Energy (1)
- Frontier (29)
- High-Performance Computing (39)
- Isotopes (6)
- Materials (28)
- Materials Science (36)
- Mathematics (1)
- Molten Salt (5)
- Nanotechnology (19)
- National Security (8)
- Net Zero (1)
- Neutron Science (102)
- Nuclear Energy (41)
- Partnerships (1)
- Physics (17)
- Polymers (3)
- Quantum Computing (19)
- Security (6)
- Simulation (14)
- Software (1)
- Space Exploration (10)
- Summit (42)
- Sustainable Energy (11)
- Transformational Challenge Reactor (3)
- Transportation (10)
Media Contacts
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.
The Department of Energy’s Office of Science has selected three ORNL research teams to receive funding through DOE’s new Biopreparedness Research Virtual Environment initiative.
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.
A new nanoscience study led by a researcher at ORNL takes a big-picture look at how scientists study materials at the smallest scales.
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.
For the third year in a row, the Quantum Science Center held its signature workforce development event: a comprehensive summer school for students and early-career scientists designed to facilitate conversations and hands-on activities related to
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.
A study led by Oak Ridge National Laboratory researchers identifies a new potential application in quantum computing that could be part of the next computational revolution.
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.