Filter News
Area of Research
- (-) Computational Biology (1)
- (-) Quantum information Science (2)
- (-) Sensors and Controls (1)
- Advanced Manufacturing (24)
- Biology and Environment (60)
- Building Technologies (3)
- Clean Energy (173)
- Computational Engineering (2)
- Computer Science (10)
- Electricity and Smart Grid (3)
- Energy Sciences (1)
- Fuel Cycle Science and Technology (1)
- Functional Materials for Energy (1)
- Fusion and Fission (30)
- Fusion Energy (11)
- Isotope Development and Production (1)
- Isotopes (3)
- Materials (60)
- Materials for Computing (8)
- Mathematics (1)
- National Security (32)
- Neutron Science (17)
- Nuclear Science and Technology (37)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Supercomputing (54)
News Type
News Topics
- (-) Artificial Intelligence (1)
- (-) Grid (2)
- (-) Sustainable Energy (1)
- Bioenergy (1)
- Biology (2)
- Biomedical (2)
- Computer Science (7)
- Coronavirus (1)
- Cybersecurity (2)
- High-Performance Computing (2)
- Microscopy (2)
- Nanotechnology (1)
- Neutron Science (1)
- Physics (1)
- Quantum Science (9)
- Security (1)
- Summit (1)
Media Contacts
An ORNL-led team comprising researchers from multiple DOE national laboratories is using artificial intelligence and computational screening techniques – in combination with experimental validation – to identify and design five promising drug therapy approaches to target the SARS-CoV-2 virus.
A method developed at Oak Ridge National Laboratory to print high-fidelity, passive sensors for energy applications can reduce the cost of monitoring critical power grid assets.
Scientists at the Department of Energy’s Oak Ridge National Laboratory have developed a new method to peer deep into the nanostructure of biomaterials without damaging the sample. This novel technique can confirm structural features in starch, a carbohydrate important in biofuel production.
Scientists at Oak Ridge National Laboratory studying quantum communications have discovered a more practical way to share secret messages among three parties, which could ultimately lead to better cybersecurity for the electric grid