Filter News
Area of Research
- (-) Clean Energy (22)
- (-) Neutron Science (10)
- Biological Systems (1)
- Biology and Environment (35)
- Computational Biology (1)
- Computer Science (2)
- Fusion and Fission (2)
- Isotopes (2)
- Materials (11)
- Materials for Computing (4)
- National Security (15)
- Nuclear Science and Technology (2)
- Quantum information Science (4)
- Supercomputing (51)
News Topics
- (-) Bioenergy (12)
- (-) Computer Science (13)
- (-) Cybersecurity (5)
- (-) Quantum Science (2)
- (-) Space Exploration (2)
- 3-D Printing/Advanced Manufacturing (24)
- Advanced Reactors (2)
- Artificial Intelligence (6)
- Big Data (1)
- Biology (5)
- Biomedical (7)
- Biotechnology (1)
- Buildings (11)
- Chemical Sciences (4)
- Clean Water (5)
- Climate Change (8)
- Composites (2)
- Coronavirus (8)
- Decarbonization (16)
- Energy Storage (21)
- Environment (21)
- Fossil Energy (2)
- Grid (13)
- High-Performance Computing (3)
- Machine Learning (3)
- Materials (9)
- Materials Science (11)
- Mathematics (2)
- Mercury (1)
- Microelectronics (1)
- Microscopy (3)
- Nanotechnology (4)
- National Security (2)
- Net Zero (1)
- Neutron Science (34)
- Nuclear Energy (3)
- Partnerships (4)
- Physics (1)
- Polymers (2)
- Quantum Computing (1)
- Security (4)
- Simulation (1)
- Summit (4)
- Sustainable Energy (14)
- Transportation (17)
Media Contacts
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.
As ORNL’s fuel properties technical lead for the U.S. Department of Energy’s Co-Optimization of Fuel and Engines, or Co-Optima, initiative, Jim Szybist has been on a quest for the past few years to identify the most significant indicators for predicting how a fuel will perform in engines designed for light-duty vehicles such as passenger cars and pickup trucks.
The University of Texas at San Antonio (UTSA) has formally launched the Cybersecurity Manufacturing Innovation Institute (CyManII), a $111 million public-private partnership.
A team led by ORNL created a computational model of the proteins responsible for the transformation of mercury to toxic methylmercury, marking a step forward in understanding how the reaction occurs and how mercury cycles through the environment.
Scientists at the Department of Energy’s Oak Ridge National Laboratory have a powerful new tool in the quest to produce better plants for biofuels, bioproducts and agriculture.
ORNL researchers have developed an intelligent power electronic inverter platform that can connect locally sited energy resources such as solar panels, energy storage and electric vehicles and smoothly interact with the utility power grid.
Ada Sedova’s journey to Oak Ridge National Laboratory has taken her on the path from pre-med studies in college to an accelerated graduate career in mathematics and biophysics and now to the intersection of computational science and biology
COVID-19 has upended nearly every aspect of our daily lives and forced us all to rethink how we can continue our work in a more physically isolated world.
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.