Filter News
Area of Research
- (-) Computer Science (6)
- (-) Electricity and Smart Grid (1)
- (-) Materials (12)
- Advanced Manufacturing (1)
- Biology and Environment (6)
- Clean Energy (22)
- Computational Engineering (2)
- Fusion and Fission (2)
- Fusion Energy (7)
- Materials for Computing (4)
- Mathematics (1)
- National Security (2)
- Neutron Science (3)
- Nuclear Science and Technology (11)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (3)
- Sensors and Controls (1)
- Supercomputing (7)
News Topics
- (-) Clean Water (1)
- (-) Fusion (2)
- (-) Grid (3)
- (-) Machine Learning (3)
- (-) Molten Salt (1)
- (-) Nanotechnology (8)
- (-) Nuclear Energy (3)
- (-) Quantum Science (2)
- 3-D Printing/Advanced Manufacturing (6)
- Advanced Reactors (1)
- Artificial Intelligence (4)
- Big Data (3)
- Bioenergy (1)
- Biomedical (2)
- Buildings (2)
- Chemical Sciences (4)
- Composites (4)
- Computer Science (11)
- Coronavirus (1)
- Critical Materials (5)
- Decarbonization (1)
- Energy Storage (8)
- Environment (2)
- High-Performance Computing (1)
- Isotopes (2)
- Materials (12)
- Materials Science (19)
- Microscopy (6)
- Neutron Science (4)
- Physics (2)
- Polymers (6)
- Quantum Computing (1)
- Space Exploration (1)
- Sustainable Energy (5)
- Transportation (6)
Media Contacts
An advance in a topological insulator material — whose interior behaves like an electrical insulator but whose surface behaves like a conductor — could revolutionize the fields of next-generation electronics and quantum computing, according to scientists at ORNL.
Oak Ridge National Laboratory researchers serendipitously discovered when they automated the beam of an electron microscope to precisely drill holes in the atomically thin lattice of graphene, the drilled holes closed up.
Researchers from ORNL, the University of Tennessee at Chattanooga and Tuskegee University used mathematics to predict which areas of the SARS-CoV-2 spike protein are most likely to mutate.
Oak Ridge National Laboratory, University of Tennessee and University of Central Florida researchers released a new high-performance computing code designed to more efficiently examine power systems and identify electrical grid disruptions, such as
To minimize potential damage from underground oil and gas leaks, Oak Ridge National Laboratory is co-developing a quantum sensing system to detect pipeline leaks more quickly.
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.
An all-in-one experimental platform developed at Oak Ridge National Laboratory’s Center for Nanophase Materials Sciences accelerates research on promising materials for future technologies.
To better determine the potential energy cost savings among connected homes, researchers at Oak Ridge National Laboratory developed a computer simulation to more accurately compare energy use on similar weather days.
Researchers at ORNL and the National Renewable Energy Laboratory took inspiration from flying insects to demonstrate a miniaturized gyroscope, a special sensor used in navigation technologies.
Oak Ridge National Laboratory is training next-generation cameras called dynamic vision sensors, or DVS, to interpret live information—a capability that has applications in robotics and could improve autonomous vehicle sensing.