Filter News
Area of Research
- Biology and Environment (3)
- Building Technologies (1)
- Clean Energy (11)
- Climate and Environmental Systems (1)
- Computational Engineering (2)
- Computer Science (10)
- Fusion Energy (2)
- Materials (1)
- Materials for Computing (1)
- Mathematics (1)
- National Security (3)
- Neutron Science (1)
- Quantum information Science (3)
- Supercomputing (16)
News Type
News Topics
- (-) Artificial Intelligence (14)
- (-) Computer Science (40)
- (-) Cybersecurity (3)
- (-) Frontier (1)
- (-) Mathematics (2)
- (-) Net Zero (2)
- 3-D Printing/Advanced Manufacturing (31)
- Advanced Reactors (13)
- Big Data (17)
- Bioenergy (16)
- Biology (18)
- Biomedical (11)
- Biotechnology (3)
- Buildings (20)
- Chemical Sciences (11)
- Clean Water (13)
- Climate Change (24)
- Composites (9)
- Coronavirus (11)
- Critical Materials (12)
- Decarbonization (11)
- Energy Storage (31)
- Environment (45)
- Exascale Computing (1)
- Fossil Energy (1)
- Fusion (9)
- Grid (21)
- High-Performance Computing (11)
- Hydropower (6)
- Irradiation (2)
- Isotopes (5)
- ITER (3)
- Machine Learning (12)
- Materials (35)
- Materials Science (34)
- Mercury (3)
- Microscopy (11)
- Molten Salt (5)
- Nanotechnology (12)
- National Security (3)
- Neutron Science (27)
- Nuclear Energy (19)
- Partnerships (1)
- Physics (4)
- Polymers (9)
- Quantum Computing (4)
- Quantum Science (10)
- Security (1)
- Simulation (7)
- Space Exploration (10)
- Statistics (1)
- Summit (6)
- Sustainable Energy (45)
- Transportation (36)
Media Contacts
Scientists at Oak Ridge National Laboratory have developed a low-cost, printed, flexible sensor that can wrap around power cables to precisely monitor electrical loads from household appliances to support grid operations.
Oak Ridge National Laboratory scientists have created open source software that scales up analysis of motor designs to run on the fastest computers available, including those accessible to outside users at the Oak Ridge Leadership Computing Facility.
A team of scientists led by Oak Ridge National Laboratory used machine learning methods to generate a high-resolution map of vegetation growing in the remote reaches of the Alaskan tundra.
Oak Ridge National Laboratory geospatial scientists who study the movement of people are using advanced machine learning methods to better predict home-to-work commuting patterns.
Scientists at Oak Ridge National Laboratory and Hypres, a digital superconductor company, have tested a novel cryogenic, or low-temperature, memory cell circuit design that may boost memory storage while using less energy in future exascale and quantum computing applications.
A team led by Oak Ridge National Laboratory has discovered that residents living in arid environments share a desire for water security, which can ultimately benefit entire neighborhoods. Las Vegas, Nevada’s water utility was the first utility in the United States to implement ...
A new system being developed at Oak Ridge National Laboratory will help builders and home designers select the best construction materials for long-term moisture durability. “It has become challenging to make informed decisions because of modern building code requirements and new ...
Geospatial scientists at Oak Ridge National Laboratory have developed a novel method to quickly gather building structure datasets that support emergency response teams assessing properties damaged by Hurricanes Harvey and Irma. By coupling deep learning with high-performance comp...
A new Oak Ridge National Laboratory-developed method promises to protect connected and autonomous vehicles from possible network intrusion. Researchers built a prototype plug-in device designed to alert drivers of vehicle cyberattacks. The prototype is coded to learn regular timing...