Filter News
Area of Research
- (-) Clean Energy (11)
- (-) Supercomputing (8)
- Advanced Manufacturing (1)
- Biology and Environment (8)
- Computational Biology (1)
- Computational Engineering (1)
- Computer Science (4)
- Fusion and Fission (5)
- Fusion Energy (6)
- Materials (11)
- Materials for Computing (1)
- National Security (5)
- Neutron Science (1)
- Nuclear Science and Technology (2)
News Type
News Topics
- (-) Artificial Intelligence (2)
- (-) Fusion (1)
- (-) Machine Learning (3)
- (-) Mercury (2)
- (-) Polymers (7)
- (-) Summit (7)
- 3-D Printing/Advanced Manufacturing (33)
- Advanced Reactors (1)
- Big Data (7)
- Bioenergy (4)
- Biology (4)
- Biomedical (6)
- Biotechnology (1)
- Buildings (19)
- Chemical Sciences (2)
- Clean Water (5)
- Climate Change (11)
- Composites (9)
- Computer Science (27)
- Coronavirus (8)
- Critical Materials (8)
- Cybersecurity (2)
- Decarbonization (12)
- Energy Storage (33)
- Environment (25)
- Exascale Computing (2)
- Frontier (2)
- Grid (21)
- High-Performance Computing (6)
- Hydropower (2)
- Materials (16)
- Materials Science (11)
- Mathematics (2)
- Microscopy (3)
- Nanotechnology (2)
- National Security (1)
- Net Zero (2)
- Neutron Science (1)
- Nuclear Energy (2)
- Quantum Computing (4)
- Quantum Science (3)
- Security (2)
- Simulation (3)
- Space Exploration (3)
- Statistics (1)
- Sustainable Energy (34)
- 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.
University of Pennsylvania researchers called on computational systems biology expertise at Oak Ridge National Laboratory to analyze large datasets of single-cell RNA sequencing from skin samples afflicted with atopic dermatitis.
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.
Oak Ridge National Laboratory scientists have discovered a cost-effective way to significantly improve the mechanical performance of common polymer nanocomposite materials.
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.
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
Scientists have tapped the immense power of the Summit supercomputer at Oak Ridge National Laboratory to comb through millions of medical journal articles to identify potential vaccines, drugs and effective measures that could suppress or stop the