Filter News
Area of Research
- (-) Clean Energy (17)
- Advanced Manufacturing (4)
- Biology and Environment (8)
- Computational Biology (1)
- Computational Engineering (1)
- Computer Science (3)
- Fusion Energy (3)
- Materials (36)
- Materials for Computing (7)
- National Security (3)
- Neutron Science (4)
- Supercomputing (9)
- Transportation Systems (1)
News Type
News Topics
- (-) Machine Learning (2)
- (-) Materials Science (10)
- (-) Mercury (2)
- (-) Nanotechnology (1)
- (-) Polymers (5)
- (-) Summit (1)
- 3-D Printing/Advanced Manufacturing (33)
- Artificial Intelligence (1)
- Big Data (2)
- Bioenergy (4)
- Biology (3)
- Biomedical (2)
- Biotechnology (1)
- Buildings (19)
- Chemical Sciences (1)
- Clean Water (5)
- Climate Change (8)
- Composites (9)
- Computer Science (10)
- Coronavirus (6)
- Critical Materials (5)
- Cybersecurity (2)
- Decarbonization (12)
- Energy Storage (32)
- Environment (21)
- Grid (21)
- High-Performance Computing (1)
- Hydropower (2)
- Materials (14)
- Mathematics (2)
- Microscopy (3)
- National Security (1)
- Net Zero (2)
- Neutron Science (1)
- Nuclear Energy (1)
- Security (2)
- Simulation (1)
- Space Exploration (2)
- Statistics (1)
- Sustainable Energy (33)
- Transportation (36)
Media Contacts
Scientists at ORNL developed a competitive, eco-friendly alternative made without harmful blowing agents.
Oak Ridge National Laboratory scientists designed a recyclable polymer for carbon-fiber composites to enable circular manufacturing of parts that boost energy efficiency in automotive, wind power and aerospace applications.
Scientists at Oak Ridge National Laboratory have developed a solvent that results in a more environmentally friendly process to recover valuable materials from used lithium-ion batteries, supports a stable domestic supply chain for new batteries
Oak Ridge National Laboratory researchers have demonstrated that a new class of superalloys made of cobalt and nickel remains crack-free and defect-resistant in extreme heat, making them conducive for use in metal-based 3D printing applications.
Growing up in the heart of the American automobile industry near Detroit, Oak Ridge National Laboratory materials scientist Mike Kirka was no stranger to manufacturing.
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.
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