Filter News
Area of Research
- (-) National Security (14)
- Advanced Manufacturing (1)
- Biology and Environment (65)
- Biology and Soft Matter (1)
- Clean Energy (111)
- Climate and Environmental Systems (2)
- Computational Biology (1)
- Computational Engineering (2)
- Computer Science (3)
- Electricity and Smart Grid (1)
- Energy Frontier Research Centers (1)
- Energy Sciences (1)
- Functional Materials for Energy (2)
- Fusion and Fission (9)
- Fusion Energy (1)
- Isotope Development and Production (1)
- Isotopes (6)
- Materials (86)
- Materials for Computing (13)
- Mathematics (1)
- Neutron Science (27)
- Nuclear Science and Technology (5)
- Quantum information Science (1)
- Supercomputing (97)
News Topics
- (-) Climate Change (5)
- (-) Energy Storage (2)
- (-) Frontier (1)
- (-) Nanotechnology (1)
- (-) Partnerships (4)
- (-) Summit (2)
- 3-D Printing/Advanced Manufacturing (2)
- Advanced Reactors (1)
- Artificial Intelligence (12)
- Big Data (6)
- Bioenergy (3)
- Biology (5)
- Biomedical (2)
- Biotechnology (1)
- Buildings (1)
- Chemical Sciences (2)
- Computer Science (19)
- Coronavirus (2)
- Cybersecurity (19)
- Decarbonization (2)
- Environment (5)
- Exascale Computing (1)
- Fusion (1)
- Grid (6)
- High-Performance Computing (4)
- Machine Learning (12)
- Materials (2)
- Materials Science (3)
- National Security (34)
- Neutron Science (4)
- Nuclear Energy (5)
- Physics (1)
- Quantum Science (1)
- Security (11)
- Simulation (1)
- Sustainable Energy (3)
- Transportation (2)
Media Contacts
Six ORNL scientists have been elected as fellows to the American Association for the Advancement of Science, or AAAS.
From materials science and earth system modeling to quantum information science and cybersecurity, experts in many fields run simulations and conduct experiments to collect the abundance of data necessary for scientific progress.
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.