![White car (Porsche Taycan) with the hood popped is inside the building with an american flag on the wall.](/sites/default/files/styles/featured_square_large/public/2024-06/2024-P09317.jpg?h=8f9cfe54&itok=m6sQhZRq)
Filter News
Area of Research
- (-) Biology and Environment (13)
- (-) National Security (3)
- Clean Energy (6)
- Computational Biology (1)
- Computational Engineering (1)
- Computer Science (1)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (1)
- Fusion and Fission (1)
- Fusion Energy (1)
- Materials (5)
- Materials for Computing (1)
- Neutron Science (7)
- Supercomputing (67)
News Topics
- (-) Frontier (4)
- (-) Summit (12)
- 3-D Printing/Advanced Manufacturing (13)
- Advanced Reactors (2)
- Artificial Intelligence (21)
- Big Data (15)
- Bioenergy (46)
- Biology (74)
- Biomedical (17)
- Biotechnology (13)
- Buildings (3)
- Chemical Sciences (12)
- Clean Water (11)
- Climate Change (43)
- Composites (5)
- Computer Science (36)
- Coronavirus (15)
- Critical Materials (1)
- Cybersecurity (19)
- Decarbonization (20)
- Energy Storage (8)
- Environment (91)
- Exascale Computing (5)
- Fusion (2)
- Grid (9)
- High-Performance Computing (24)
- Hydropower (8)
- Isotopes (2)
- Machine Learning (19)
- Materials (13)
- Materials Science (9)
- Mathematics (3)
- Mercury (7)
- Microscopy (10)
- Molten Salt (1)
- Nanotechnology (8)
- National Security (35)
- Net Zero (2)
- Neutron Science (7)
- Nuclear Energy (6)
- Partnerships (8)
- Physics (3)
- Polymers (2)
- Quantum Science (1)
- Renewable Energy (1)
- Security (12)
- Simulation (14)
- Sustainable Energy (32)
- Transformational Challenge Reactor (1)
- Transportation (5)
Media Contacts
![ATOM logo](/sites/default/files/styles/list_page_thumbnail/public/2021-03/ATOM_Logo_small.png?h=8f9cfe54&itok=Qpezfk8V)
The Accelerating Therapeutics for Opportunities in Medicine , or ATOM, consortium today announced the U.S. Department of Energy’s Oak Ridge, Argonne and Brookhaven national laboratories are joining the consortium to further develop ATOM’s artificial intelligence, or AI-driven, drug discovery platform.
![Analyses of lung fluid cells from COVID-19 patients conducted on the nation’s fastest supercomputer point to gene expression patterns that may explain the runaway symptoms produced by the body’s response to SARS-CoV-2. Credit: Jason B. Smith/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2020-07/cells%20200%5B1%5D.png?h=b95f6d72&itok=V2OxqL5l)
A team led by Dan Jacobson of Oak Ridge National Laboratory used the Summit supercomputer at ORNL to analyze genes from cells in the lung fluid of nine COVID-19 patients compared with 40 control patients.
![Omar Demerdash](/sites/default/files/styles/list_page_thumbnail/public/2020-05/demerdash_crop.jpg?h=8831409f&itok=2J2gUqDr)
With the rise of the global pandemic, Omar Demerdash, a Liane B. Russell Distinguished Staff Fellow at ORNL since 2018, has become laser-focused on potential avenues to COVID-19 therapies.
![Coronavirus graphic](/sites/default/files/styles/list_page_thumbnail/public/2020-04/covid19_jh_0.png?h=d1cb525d&itok=PyngFUZw)
In the race to identify solutions to the COVID-19 pandemic, researchers at the Department of Energy’s Oak Ridge National Laboratory are joining the fight by applying expertise in computational science, advanced manufacturing, data science and neutron science.
![Coronavirus research](/sites/default/files/styles/list_page_thumbnail/public/2020-03/still_original.png?h=d1cb525d&itok=0Md1n6Ct)
Researchers at the Department of Energy’s Oak Ridge National Laboratory have used Summit, the world’s most powerful and smartest supercomputer, to identify 77 small-molecule drug compounds that might warrant further study in the fight
![A new computational approach by ORNL can more quickly scan large-scale satellite images, such as these of Puerto Rico, for more accurate mapping of complex infrastructure like buildings. Credit: Maxar Technologies and Dalton Lunga/Oak Ridge National Laboratory, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2020-02/Puerto_Rico_Resflow9.png?h=a0a1befd&itok=5n2fss_e)
A novel approach developed by scientists at ORNL can scan massive datasets of large-scale satellite images to more accurately map infrastructure – such as buildings and roads – in hours versus days.