Filter News
Area of Research
- (-) Computational Engineering (1)
- (-) Materials for Computing (5)
- Advanced Manufacturing (1)
- Biology and Environment (4)
- Clean Energy (21)
- Computational Biology (1)
- Computer Science (6)
- Electricity and Smart Grid (1)
- Fusion and Fission (2)
- Fusion Energy (8)
- Materials (14)
- National Security (3)
- Neutron Science (3)
- Nuclear Science and Technology (4)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (3)
- Sensors and Controls (1)
- Supercomputing (10)
News Type
News Topics
- (-) Machine Learning (1)
- (-) Microscopy (2)
- (-) Nanotechnology (3)
- (-) Quantum Science (1)
- 3-D Printing/Advanced Manufacturing (2)
- Artificial Intelligence (1)
- Big Data (1)
- Biomedical (1)
- Chemical Sciences (1)
- Clean Water (1)
- Climate Change (1)
- Computer Science (3)
- Coronavirus (2)
- Environment (1)
- Materials (6)
- Materials Science (6)
- Mathematics (1)
- Neutron Science (1)
- Polymers (1)
- Sustainable Energy (2)
- Transportation (1)
Media Contacts
Researchers working with Oak Ridge National Laboratory developed a new method to observe how proteins, at the single-molecule level, bind with other molecules and more accurately pinpoint certain molecular behavior in complex
Oak Ridge National Laboratory scientists demonstrated that an electron microscope can be used to selectively remove carbon atoms from graphene’s atomically thin lattice and stitch transition-metal dopant atoms in their place.
Collaborators at Oak Ridge National Laboratory and the University of Tennessee Health Science Center are developing a breath-sampling whistle that could make COVID-19 screening easy to do at home.
Oak Ridge National Laboratory’s Center for Nanophase Materials Sciences contributed to a groundbreaking experiment published in Science that tracks the real-time transport of individual molecules.
Scientists at Oak Ridge National Laboratory and the University of Tennessee designed and demonstrated a method to make carbon-based materials that can be used as electrodes compatible with a specific semiconductor circuitry.
A study led by Oak Ridge National Laboratory explored the interface between the Department of Veterans Affairs’ healthcare data system and the data itself to detect the likelihood of errors and designed an auto-surveillance tool