Filter News
Area of Research
- Advanced Manufacturing (6)
- Biology and Environment (13)
- Building Technologies (1)
- Clean Energy (49)
- Climate and Environmental Systems (1)
- Computer Science (2)
- Energy Sciences (1)
- Fusion and Fission (1)
- Materials (27)
- Materials for Computing (4)
- National Security (4)
- Neutron Science (10)
- Nuclear Science and Technology (6)
- Quantum information Science (3)
- Supercomputing (25)
News Topics
- (-) 3-D Printing/Advanced Manufacturing (33)
- (-) Big Data (12)
- (-) Biology (6)
- (-) Coronavirus (23)
- (-) Decarbonization (1)
- (-) Energy Storage (23)
- (-) Grid (10)
- (-) Machine Learning (8)
- (-) Microscopy (13)
- (-) Quantum Science (17)
- Advanced Reactors (15)
- Artificial Intelligence (9)
- Bioenergy (14)
- Biomedical (25)
- Biotechnology (2)
- Buildings (1)
- Chemical Sciences (5)
- Clean Water (3)
- Climate Change (11)
- Composites (4)
- Computer Science (53)
- Critical Materials (3)
- Cybersecurity (7)
- Environment (32)
- Exascale Computing (3)
- Frontier (1)
- Fusion (17)
- High-Performance Computing (3)
- Isotopes (14)
- Materials (2)
- Materials Science (47)
- Mathematics (2)
- Mercury (2)
- Molten Salt (6)
- Nanotechnology (26)
- National Security (2)
- Neutron Science (38)
- Nuclear Energy (41)
- Physics (22)
- Polymers (12)
- Security (10)
- Space Exploration (4)
- Summit (19)
- Sustainable Energy (24)
- Transformational Challenge Reactor (5)
- Transportation (22)
Media Contacts
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.
ORNL has licensed two additive manufacturing-related technologies that aim to streamline and ramp up production processes to Knoxville-based Magnum Venus Products, Inc., a global manufacturer of fluid movement and product solutions for industrial applications in composites and adhesives.
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.
Scientists seeking ways to improve a battery’s ability to hold a charge longer, using advanced materials that are safe, stable and efficient, have determined that the materials themselves are only part of the solution.
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.
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.
From materials science and earth system modeling to quantum information science and cybersecurity, experts in many fields run simulations and conduct experiments to collect the abundance of data necessary for scientific progress.
Five researchers at the Department of Energy’s Oak Ridge National Laboratory have been named ORNL Corporate Fellows in recognition of significant career accomplishments and continued leadership in their scientific fields.
Researchers at Oak Ridge National Laboratory developed a method that uses machine learning to predict seasonal fire risk in Africa, where half of the world’s wildfire-related carbon emissions originate.
Oak Ridge National Laboratory scientists seeking the source of charge loss in lithium-ion batteries demonstrated that coupling a thin-film cathode with a solid electrolyte is a rapid way to determine the root cause.