Filter News
Area of Research
- (-) Clean Energy (82)
- Advanced Manufacturing (12)
- Biology and Environment (14)
- Building Technologies (1)
- Computational Biology (1)
- Computational Engineering (1)
- Computer Science (5)
- Electricity and Smart Grid (1)
- Energy Sciences (1)
- Fusion and Fission (6)
- Fusion Energy (5)
- Isotopes (5)
- Materials (27)
- Materials for Computing (3)
- National Security (7)
- Neutron Science (28)
- Nuclear Science and Technology (14)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (1)
- Sensors and Controls (1)
- Supercomputing (7)
News Type
News Topics
- (-) 3-D Printing/Advanced Manufacturing (33)
- (-) Biomedical (2)
- (-) Composites (9)
- (-) Energy Storage (32)
- (-) Grid (21)
- (-) Machine Learning (2)
- (-) Net Zero (2)
- (-) Neutron Science (1)
- (-) Nuclear Energy (1)
- (-) Space Exploration (2)
- Artificial Intelligence (1)
- Big Data (2)
- Bioenergy (4)
- Biology (3)
- Biotechnology (1)
- Buildings (19)
- Chemical Sciences (1)
- Clean Water (5)
- Climate Change (8)
- Computer Science (10)
- Coronavirus (6)
- Critical Materials (5)
- Cybersecurity (2)
- Decarbonization (12)
- Environment (21)
- High-Performance Computing (1)
- Hydropower (2)
- Materials (14)
- Materials Science (10)
- Mathematics (2)
- Mercury (2)
- Microscopy (3)
- Nanotechnology (1)
- National Security (1)
- Polymers (5)
- Security (2)
- Simulation (1)
- Statistics (1)
- Summit (1)
- Sustainable Energy (33)
- Transportation (36)
Media Contacts
Algorithms developed at Oak Ridge National Laboratory can greatly enhance X-ray computed tomography images of 3D-printed metal parts, resulting in more accurate, faster scans.
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.
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 used additive manufacturing to build a first-of-its kind smart wall called EMPOWER.
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.
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.
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
Oak Ridge National Laboratory researchers have developed a thin film, highly conductive solid-state electrolyte made of a polymer and ceramic-based composite for lithium metal batteries.