Filter News
Area of Research
News Topics
- (-) Coronavirus (10)
- (-) High-Performance Computing (19)
- 3-D Printing/Advanced Manufacturing (27)
- Advanced Reactors (2)
- Artificial Intelligence (7)
- Big Data (5)
- Bioenergy (13)
- Biology (23)
- Biomedical (10)
- Biotechnology (5)
- Buildings (13)
- Chemical Sciences (7)
- Clean Water (8)
- Climate Change (11)
- Composites (6)
- Computer Science (30)
- Critical Materials (5)
- Cybersecurity (5)
- Decarbonization (7)
- Energy Storage (22)
- Environment (39)
- Exascale Computing (2)
- Frontier (4)
- Fusion (9)
- Grid (11)
- Isotopes (12)
- ITER (4)
- Machine Learning (1)
- Materials (32)
- Materials Science (24)
- Mathematics (1)
- Mercury (3)
- Microscopy (10)
- Nanotechnology (10)
- National Security (7)
- Net Zero (1)
- Neutron Science (18)
- Nuclear Energy (9)
- Physics (3)
- Polymers (5)
- Quantum Computing (5)
- Quantum Science (12)
- Security (3)
- Space Exploration (6)
- Statistics (1)
- Summit (9)
- Sustainable Energy (35)
- Transportation (21)
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
A new tool that simulates the energy profile of every building in America will give homeowners, utilities and companies a quick way to determine energy use and cost-effective retrofits that can reduce energy and carbon emissions.
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.
Belinda Akpa is a chemical engineer with a talent for tackling big challenges and fostering inclusivity and diversity in the next generation of scientists.
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.
When COVID-19 was declared a pandemic in March 2020, Oak Ridge National Laboratory’s Parans Paranthaman suddenly found himself working from home like millions of others.
When Kashif Nawaz looks at a satellite map of the U.S., he sees millions of buildings that could hold a potential solution for the capture of carbon dioxide, a plentiful gas that can be harmful when excessive amounts are released into the atmosphere, raising the Earth’s temperature.
Scientists have found new, unexpected behaviors when SARS-CoV-2 – the virus that causes COVID-19 – encounters drugs known as inhibitors, which bind to certain components of the virus and block its ability to reproduce.
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.
To better understand the spread of SARS-CoV-2, the virus that causes COVID-19, Oak Ridge National Laboratory researchers have harnessed the power of supercomputers to accurately model the spike protein that binds the novel coronavirus to a human cell receptor.