Filter News
Area of Research
- (-) National Security (10)
- Advanced Manufacturing (5)
- Biology and Environment (43)
- Biology and Soft Matter (1)
- Clean Energy (57)
- Climate and Environmental Systems (2)
- Computational Biology (1)
- Computer Science (2)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (1)
- Fusion and Fission (4)
- Fusion Energy (1)
- Isotopes (3)
- Materials (51)
- Materials for Computing (6)
- Neutron Science (18)
- Nuclear Science and Technology (6)
- Supercomputing (42)
News Topics
- (-) 3-D Printing/Advanced Manufacturing (1)
- (-) Big Data (4)
- (-) Biomedical (2)
- (-) Environment (2)
- (-) Exascale Computing (1)
- (-) Frontier (1)
- (-) Materials Science (3)
- Artificial Intelligence (4)
- Bioenergy (2)
- Biology (4)
- Biotechnology (1)
- Buildings (1)
- Chemical Sciences (2)
- Climate Change (5)
- Computer Science (12)
- Coronavirus (2)
- Cybersecurity (8)
- Decarbonization (1)
- Energy Storage (2)
- Grid (4)
- High-Performance Computing (1)
- Machine Learning (5)
- Materials (1)
- Nanotechnology (1)
- National Security (15)
- Neutron Science (4)
- Nuclear Energy (1)
- Partnerships (1)
- Physics (1)
- Security (6)
- Simulation (1)
- Summit (2)
- Sustainable Energy (2)
Media Contacts
Laboratory Director Thomas Zacharia presented five Director’s Awards during Saturday night's annual Awards Night event hosted by UT-Battelle, which manages ORNL for the Department of Energy.
Scientists develop environmental justice lens to identify neighborhoods vulnerable to climate change
A new capability to identify urban neighborhoods, down to the block and building level, that are most vulnerable to climate change could help ensure that mitigation and resilience programs reach the people who need them the most.
ORNL scientists will present new technologies available for licensing during the annual Technology Innovation Showcase. The event is 9 a.m. to 3 p.m. Thursday, June 16, at the Manufacturing Demonstration Facility at ORNL’s Hardin Valley campus.
How an Alvin M. Weinberg Fellow is increasing security for critical infrastructure components
It’s a simple premise: To truly improve the health, safety, and security of human beings, you must first understand where those individuals are.
A team of researchers has developed a novel, machine learning–based technique to explore and identify relationships among medical concepts using electronic health record data across multiple healthcare providers.
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.
Research by an international team led by Duke University and the Department of Energy’s Oak Ridge National Laboratory scientists could speed the way to safer rechargeable batteries for consumer electronics such as laptops and cellphones.
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.