Filter News
Area of Research
- (-) Materials for Computing (14)
- (-) National Security (8)
- (-) Nuclear Science and Technology (21)
- Advanced Manufacturing (7)
- Biology and Environment (38)
- Building Technologies (1)
- Clean Energy (93)
- Climate and Environmental Systems (2)
- Computational Engineering (1)
- Computer Science (6)
- Electricity and Smart Grid (1)
- Fusion and Fission (11)
- Fusion Energy (5)
- Isotopes (3)
- Materials (42)
- Mathematics (1)
- Neutron Science (19)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (6)
- Sensors and Controls (1)
- Supercomputing (36)
News Topics
- (-) Composites (1)
- (-) Environment (4)
- (-) Grid (1)
- (-) Machine Learning (1)
- (-) Materials Science (16)
- (-) Nuclear Energy (19)
- (-) Quantum Science (3)
- (-) Sustainable Energy (6)
- (-) Transformational Challenge Reactor (3)
- 3-D Printing/Advanced Manufacturing (8)
- Advanced Reactors (7)
- Artificial Intelligence (2)
- Big Data (2)
- Bioenergy (1)
- Biomedical (3)
- Chemical Sciences (4)
- Climate Change (1)
- Computer Science (12)
- Coronavirus (4)
- Cybersecurity (6)
- Decarbonization (1)
- Energy Storage (5)
- Fusion (6)
- Isotopes (4)
- Materials (6)
- Microscopy (3)
- Molten Salt (1)
- Nanotechnology (6)
- National Security (7)
- Neutron Science (10)
- Physics (1)
- Polymers (5)
- Quantum Computing (1)
- Security (4)
- Space Exploration (2)
- Summit (2)
- Transportation (5)
Media Contacts
A novel approach developed by scientists at ORNL can scan massive datasets of large-scale satellite images to more accurately map infrastructure – such as buildings and roads – in hours versus days.
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.