Filter News
Area of Research
News Topics
- (-) Energy Storage (1)
- (-) Frontier (3)
- (-) Physics (1)
- (-) Summit (6)
- 3-D Printing/Advanced Manufacturing (1)
- Artificial Intelligence (5)
- Big Data (1)
- Bioenergy (2)
- Biology (4)
- Biomedical (3)
- Buildings (2)
- Chemical Sciences (1)
- Climate Change (5)
- Computer Science (13)
- Coronavirus (3)
- Decarbonization (1)
- Environment (7)
- Exascale Computing (1)
- High-Performance Computing (10)
- Machine Learning (2)
- Materials (4)
- Materials Science (5)
- Microscopy (2)
- Nanotechnology (3)
- National Security (1)
- Neutron Science (3)
- Quantum Computing (6)
- Quantum Science (4)
- Security (1)
- Simulation (3)
- Sustainable Energy (2)
- Transportation (1)
Media Contacts
ORNL’s next major computing achievement could open a new universe of scientific possibilities accelerated by the primal forces at the heart of matter and energy.
ORNL researchers are deploying their broad expertise in climate data and modeling to create science-based mitigation strategies for cities stressed by climate change as part of two U.S. Department of Energy Urban Integrated Field Laboratory projects.
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.
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.
A rapidly emerging consensus in the scientific community predicts the future will be defined by humanity’s ability to exploit the laws of quantum mechanics.
To explore the inner workings of severe acute respiratory syndrome coronavirus 2, or SARS-CoV-2, researchers from ORNL developed a novel technique.
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.
Improved data, models and analyses from ORNL scientists and many other researchers in the latest global climate assessment report provide new levels of certainty about what the future holds for the planet
Twenty-seven ORNL researchers Zoomed into 11 middle schools across Tennessee during the annual Engineers Week in February. East Tennessee schools throughout Oak Ridge and Roane, Sevier, Blount and Loudon counties participated, with three West Tennessee schools joining in.
Since the 1930s, scientists have been using particle accelerators to gain insights into the structure of matter and the laws of physics that govern our world.