Filter News
Area of Research
- (-) Clean Energy (29)
- (-) Fusion Energy (1)
- (-) Supercomputing (84)
- Biology and Environment (35)
- Climate and Environmental Systems (1)
- Computational Biology (2)
- Computational Engineering (2)
- Computer Science (1)
- Electricity and Smart Grid (1)
- Energy Frontier Research Centers (1)
- Functional Materials for Energy (1)
- Fusion and Fission (2)
- Materials (46)
- Materials for Computing (10)
- Mathematics (1)
- National Security (6)
- Neutron Science (23)
- Nuclear Science and Technology (1)
- Quantum information Science (1)
News Topics
- (-) Coronavirus (25)
- (-) Frontier (28)
- (-) Mathematics (3)
- (-) Mercury (3)
- (-) Nanotechnology (15)
- (-) Summit (43)
- 3-D Printing/Advanced Manufacturing (81)
- Advanced Reactors (14)
- Artificial Intelligence (41)
- Big Data (24)
- Bioenergy (29)
- Biology (19)
- Biomedical (22)
- Biotechnology (6)
- Buildings (37)
- Chemical Sciences (16)
- Clean Water (8)
- Climate Change (35)
- Composites (17)
- Computer Science (108)
- Critical Materials (12)
- Cybersecurity (14)
- Decarbonization (35)
- Energy Storage (75)
- Environment (68)
- Exascale Computing (23)
- Fossil Energy (2)
- Fusion (14)
- Grid (42)
- High-Performance Computing (39)
- Hydropower (2)
- Isotopes (1)
- Machine Learning (19)
- Materials (46)
- Materials Science (42)
- Microelectronics (1)
- Microscopy (14)
- Molten Salt (1)
- National Security (11)
- Net Zero (4)
- Neutron Science (20)
- Nuclear Energy (21)
- Partnerships (12)
- Physics (7)
- Polymers (13)
- Quantum Computing (19)
- Quantum Science (25)
- Renewable Energy (1)
- Security (9)
- Simulation (16)
- Software (1)
- Space Exploration (6)
- Statistics (1)
- Sustainable Energy (72)
- Transformational Challenge Reactor (3)
- Transportation (69)
Media Contacts
The annual Director's Awards recognized four individuals and teams including awards for leadership in quantum simulation development and application on high-performance computing platforms, and revolutionary advancements in the area of microbial
Seven ORNL scientists have been named among the 2020 Highly Cited Researchers list, according to Clarivate, a data analytics firm that specializes in scientific and academic research.
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.
Planning for a digitized, sustainable smart power grid is a challenge to which Suman Debnath is using not only his own applied mathematics expertise, but also the wider communal knowledge made possible by his revival of a local chapter of the IEEE professional society.
There are more than 17 million veterans in the United States, and approximately half rely on the Department of Veterans Affairs for their healthcare.
A collaboration between the ORNL and a Florida-based medical device manufacturer has led to the addition of 500 jobs in the Miami area to support the mass production of N95 respirator masks.
Growing up in Florida, Emma Betters was fascinated by rockets and for good reason. Any time she wanted to see a space shuttle launch from NASA’s nearby Kennedy Space Center, all she had to do was sit on her front porch.
Oak Ridge National Laboratory researchers have developed a machine learning model that could help predict the impact pandemics such as COVID-19 have on fuel demand in the United States.
Joe Hagerman, ORNL research lead for buildings integration and controls, understands the impact building technology innovations can have during times of crisis. Over a decade ago, he found himself in the middle of one of the most devastating natural disasters of the century, Hurricane Katrina.
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.