Filter News
Area of Research
- (-) National Security (10)
- (-) Supercomputing (19)
- Biological Systems (1)
- Biology and Environment (21)
- Clean Energy (41)
- Computational Biology (1)
- Fusion and Fission (5)
- Isotopes (3)
- Materials (30)
- Materials for Computing (4)
- Neutron Science (11)
- Nuclear Science and Technology (5)
- Quantum information Science (1)
News Topics
- (-) Biomedical (7)
- (-) Buildings (2)
- (-) Cybersecurity (8)
- (-) Energy Storage (1)
- (-) Nanotechnology (5)
- (-) Physics (3)
- 3-D Printing/Advanced Manufacturing (3)
- Artificial Intelligence (25)
- Big Data (15)
- Bioenergy (4)
- Biology (8)
- Biotechnology (2)
- Chemical Sciences (1)
- Climate Change (15)
- Computer Science (49)
- Coronavirus (8)
- Decarbonization (4)
- Environment (16)
- Exascale Computing (12)
- Frontier (13)
- Grid (4)
- High-Performance Computing (22)
- Machine Learning (13)
- Materials (5)
- Materials Science (9)
- Mathematics (1)
- Microscopy (2)
- National Security (23)
- Net Zero (1)
- Neutron Science (7)
- Nuclear Energy (3)
- Quantum Computing (10)
- Quantum Science (11)
- Security (6)
- Simulation (10)
- Software (1)
- Space Exploration (1)
- Summit (21)
- Sustainable Energy (3)
- Transportation (3)
Media Contacts
Every day, hundreds of thousands of commuters across the country travel from houses, apartments and other residential spaces to commercial buildings — from offices and schools to gyms and grocery stores.
To explore the inner workings of severe acute respiratory syndrome coronavirus 2, or SARS-CoV-2, researchers from ORNL developed a novel technique.
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.
An ORNL-led team comprising researchers from multiple DOE national laboratories is using artificial intelligence and computational screening techniques – in combination with experimental validation – to identify and design five promising drug therapy approaches to target the SARS-CoV-2 virus.
Deborah Frincke, one of the nation’s preeminent computer scientists and cybersecurity experts, serves as associate laboratory director of ORNL’s National Security Science Directorate. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy
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.
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.
A multi-institutional team, led by a group of investigators at Oak Ridge National Laboratory, has been studying various SARS-CoV-2 protein targets, including the virus’s main protease. The feat has earned the team a finalist nomination for the Association of Computing Machinery, or ACM, Gordon Bell Special Prize for High Performance Computing-Based COVID-19 Research.
From materials science and earth system modeling to quantum information science and cybersecurity, experts in many fields run simulations and conduct experiments to collect the abundance of data necessary for scientific progress.