Filter News
Area of Research
- (-) Supercomputing (33)
- Advanced Manufacturing (3)
- Biological Systems (2)
- Biology and Environment (45)
- Clean Energy (26)
- Computational Biology (1)
- Fusion and Fission (2)
- Fusion Energy (1)
- Materials (33)
- Materials for Computing (4)
- National Security (4)
- Neutron Science (8)
- Nuclear Science and Technology (5)
- Quantum information Science (3)
News Topics
- (-) Bioenergy (3)
- (-) Microscopy (2)
- (-) Physics (3)
- (-) Summit (27)
- 3-D Printing/Advanced Manufacturing (2)
- Advanced Reactors (1)
- Artificial Intelligence (22)
- Big Data (17)
- Biology (7)
- Biomedical (11)
- Biotechnology (1)
- Buildings (2)
- Chemical Sciences (2)
- Climate Change (14)
- Computer Science (61)
- Coronavirus (9)
- Critical Materials (3)
- Cybersecurity (2)
- Decarbonization (3)
- Energy Storage (2)
- Environment (17)
- Exascale Computing (13)
- Frontier (14)
- Fusion (1)
- Grid (1)
- High-Performance Computing (23)
- Machine Learning (8)
- Materials (5)
- Materials Science (9)
- Mathematics (1)
- Nanotechnology (6)
- National Security (3)
- Net Zero (1)
- Neutron Science (6)
- Nuclear Energy (3)
- Polymers (2)
- Quantum Computing (14)
- Quantum Science (13)
- Security (1)
- Simulation (11)
- Software (1)
- Space Exploration (2)
- Sustainable Energy (4)
- Transportation (4)
Media Contacts
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.
Tackling the climate crisis and achieving an equitable clean energy future are among the biggest challenges of our time.
University of Pennsylvania researchers called on computational systems biology expertise at Oak Ridge National Laboratory to analyze large datasets of single-cell RNA sequencing from skin samples afflicted with atopic dermatitis.
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
At the Department of Energy’s Oak Ridge National Laboratory, scientists use artificial intelligence, or AI, to accelerate the discovery and development of materials for energy and information technologies.
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.
There are more than 17 million veterans in the United States, and approximately half rely on the Department of Veterans Affairs for their healthcare.
Scientists have tapped the immense power of the Summit supercomputer at Oak Ridge National Laboratory to comb through millions of medical journal articles to identify potential vaccines, drugs and effective measures that could suppress or stop the