Filter News
Area of Research
- (-) Biological Systems (1)
- (-) National Security (28)
- (-) Supercomputing (86)
- Advanced Manufacturing (5)
- Biology and Environment (117)
- Biology and Soft Matter (1)
- Clean Energy (88)
- Climate and Environmental Systems (5)
- Computational Biology (2)
- Computational Engineering (3)
- Computer Science (6)
- Electricity and Smart Grid (1)
- Energy Frontier Research Centers (1)
- Fuel Cycle Science and Technology (1)
- Functional Materials for Energy (1)
- Fusion and Fission (31)
- Fusion Energy (10)
- Isotope Development and Production (1)
- Isotopes (9)
- Materials (110)
- Materials for Computing (14)
- Mathematics (1)
- Neutron Science (104)
- Nuclear Science and Technology (41)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (2)
News Topics
- (-) Biomedical (18)
- (-) Environment (25)
- (-) Exascale Computing (22)
- (-) Machine Learning (23)
- (-) Microscopy (7)
- (-) Nanotechnology (11)
- (-) Neutron Science (15)
- (-) Nuclear Energy (8)
- 3-D Printing/Advanced Manufacturing (7)
- Advanced Reactors (2)
- Artificial Intelligence (45)
- Big Data (22)
- Bioenergy (13)
- Biology (14)
- Biotechnology (3)
- Buildings (4)
- Chemical Sciences (5)
- Climate Change (20)
- Computer Science (104)
- Coronavirus (16)
- Critical Materials (3)
- Cybersecurity (23)
- Decarbonization (6)
- Energy Storage (9)
- Frontier (28)
- Fusion (2)
- Grid (11)
- High-Performance Computing (40)
- Isotopes (1)
- Materials (16)
- Materials Science (17)
- Mathematics (1)
- Molten Salt (1)
- National Security (35)
- Net Zero (1)
- Partnerships (5)
- Physics (8)
- Polymers (2)
- Quantum Computing (19)
- Quantum Science (25)
- Security (14)
- Simulation (14)
- Software (1)
- Space Exploration (3)
- Summit (42)
- Sustainable Energy (12)
- Transportation (8)
Media Contacts
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
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.
RamSat’s mission is to take pictures of the forests around Gatlinburg, which were destroyed by wildfire in 2016. The mission is wholly designed and carried out by students, teachers and mentors, with support from numerous organizations, including Oak Ridge National Laboratory.
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.
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.
An analysis published in the Proceedings of the National Academy of Sciences and led by researchers from the U.S. Department of Energy’s Oak Ridge National Laboratory has received the 2021 Sustainability Science Award from the Ecological Society of America.
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.
The U.S. Air Force and Oak Ridge National Laboratory launched a new high-performance weather forecasting computer system that will provide a platform for some of the most advanced weather modeling in the world.
A new tool from Oak Ridge National Laboratory can help planners, emergency responders and scientists visualize how flood waters will spread for any scenario and terrain.
In the quest for advanced vehicles with higher energy efficiency and ultra-low emissions, ORNL researchers are accelerating a research engine that gives scientists and engineers an unprecedented view inside the atomic-level workings of combustion engines in real time.