Filter News
Area of Research
- (-) Materials (3)
- (-) Supercomputing (3)
- Biology and Environment (3)
- Clean Energy (9)
- Computer Science (1)
- Fusion and Fission (1)
- Fusion Energy (2)
- Isotopes (1)
- Materials for Computing (1)
- National Security (2)
- Neutron Science (1)
- Nuclear Science and Technology (5)
- Nuclear Systems Modeling, Simulation and Validation (1)
News Type
News Topics
- (-) Bioenergy (1)
- (-) Biomedical (3)
- (-) Machine Learning (1)
- (-) Nuclear Energy (1)
- (-) Transportation (1)
- Artificial Intelligence (1)
- Big Data (2)
- Computer Science (5)
- Coronavirus (1)
- Energy Storage (2)
- Environment (2)
- Frontier (1)
- Fusion (1)
- Materials Science (7)
- Microscopy (3)
- Nanotechnology (2)
- Neutron Science (1)
- Physics (3)
- Polymers (2)
- Summit (3)
- Sustainable Energy (2)
Media Contacts
Scientists from Oak Ridge National Laboratory used high-performance computing to create protein models that helped reveal how the outer membrane is tethered to the cell membrane in certain bacteria.
Systems biologist Paul Abraham uses his fascination with proteins, the molecular machines of nature, to explore new ways to engineer more productive ecosystems and hardier bioenergy crops.
In the search to create materials that can withstand extreme radiation, Yanwen Zhang, a researcher at the Department of Energy’s Oak Ridge National Laboratory, says that materials scientists must think outside the box.
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
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.
Oak Ridge National Laboratory will partner with Cincinnati Children’s Hospital Medical Center to explore ways to deploy expertise in health data science that could more quickly identify patients’ mental health risk factors and aid in