Filter News
Area of Research
- (-) Computer Science (3)
- (-) Materials for Computing (2)
- Advanced Manufacturing (1)
- Biology and Environment (6)
- Clean Energy (46)
- Electricity and Smart Grid (2)
- Functional Materials for Energy (1)
- Fusion and Fission (8)
- Fusion Energy (6)
- Materials (17)
- National Security (4)
- Neutron Science (4)
- Nuclear Science and Technology (5)
- Quantum information Science (4)
- Sensors and Controls (1)
- Supercomputing (8)
- Transportation Systems (2)
News Type
News Topics
- (-) Grid (2)
- (-) Quantum Science (2)
- (-) Transportation (1)
- 3-D Printing/Advanced Manufacturing (3)
- Artificial Intelligence (5)
- Big Data (4)
- Biomedical (2)
- Buildings (1)
- Chemical Sciences (2)
- Computer Science (15)
- Coronavirus (2)
- Energy Storage (2)
- Environment (2)
- Exascale Computing (1)
- High-Performance Computing (2)
- Machine Learning (3)
- Materials (6)
- Materials Science (10)
- Microscopy (2)
- Nanotechnology (3)
- Neutron Science (2)
- Polymers (3)
- Security (1)
- Space Exploration (1)
- Summit (1)
- Sustainable Energy (5)
Media Contacts
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.
Oak Ridge National Laboratory researchers have developed a new catalyst for converting ethanol into C3+ olefins – the chemical
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.
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.