Filter News
Area of Research
News Topics
- (-) Grid (4)
- (-) Summit (36)
- (-) Transportation (5)
- 3-D Printing/Advanced Manufacturing (5)
- Artificial Intelligence (33)
- Big Data (15)
- Bioenergy (9)
- Biology (10)
- Biomedical (12)
- Biotechnology (2)
- Buildings (3)
- Chemical Sciences (4)
- Climate Change (15)
- Computer Science (76)
- Coronavirus (12)
- Cybersecurity (8)
- Decarbonization (4)
- Energy Storage (6)
- Environment (16)
- Exascale Computing (21)
- Frontier (26)
- High-Performance Computing (33)
- Isotopes (2)
- Machine Learning (12)
- Materials (12)
- Materials Science (14)
- Mathematics (1)
- Microscopy (7)
- Molten Salt (1)
- Nanotechnology (10)
- National Security (8)
- Net Zero (1)
- Neutron Science (13)
- Nuclear Energy (3)
- Partnerships (1)
- Physics (8)
- Quantum Computing (15)
- Quantum Science (20)
- Security (5)
- Simulation (12)
- Software (1)
- Space Exploration (2)
- Sustainable Energy (8)
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.
A study led by researchers at ORNL used the nation’s fastest supercomputer to close in on the answer to a central question of modern physics that could help conduct development of the next generation of energy technologies.
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.
The U.S. Department of Energy’s Office of Science announced allocations of supercomputer access to 51 high-impact computational science projects for 2022 through its Innovative and Novel Computational Impact on Theory and Experiment, or INCITE, program.
The daily traffic congestion along the streets and interstate lanes of Chattanooga could be headed the way of the horse and buggy with help from ORNL researchers.
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
The Department of Energy’s Oak Ridge National Laboratory has licensed its award-winning artificial intelligence software system, the Multinode Evolutionary Neural Networks for Deep Learning, to General Motors for use in vehicle technology and design.
The U.S. Department of Energy’s Innovative and Novel Computational Impact on Theory and Experiment, or INCITE, program is seeking proposals for high-impact, computationally intensive research campaigns in a broad array of science, engineering and computer science domains.
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.