Filter News
Area of Research
- (-) National Security (10)
- Biology and Environment (46)
- Biology and Soft Matter (1)
- Clean Energy (47)
- Climate and Environmental Systems (2)
- Computational Biology (1)
- Computer Science (2)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (1)
- Fusion and Fission (2)
- Isotopes (2)
- Materials (34)
- Materials for Computing (4)
- Neutron Science (13)
- Nuclear Science and Technology (2)
- Quantum information Science (2)
- Supercomputing (38)
News Topics
- (-) Biomedical (2)
- (-) Environment (2)
- (-) Exascale Computing (1)
- (-) Grid (4)
- (-) Nanotechnology (1)
- 3-D Printing/Advanced Manufacturing (1)
- Artificial Intelligence (4)
- Big Data (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)
- Frontier (1)
- High-Performance Computing (1)
- Machine Learning (5)
- Materials (1)
- Materials Science (3)
- National Security (15)
- Neutron Science (4)
- Nuclear Energy (1)
- Partnerships (1)
- Physics (1)
- Security (6)
- Simulation (1)
- Summit (2)
- Sustainable Energy (2)
Media Contacts
Although blockchain is best known for securing digital currency payments, researchers at the Department of Energy’s Oak Ridge National Laboratory are using it to track a different kind of exchange: It’s the first time blockchain has ever been used to validate communication among devices on the electric grid.
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.
In human security research, Thomaz Carvalhaes says, there are typically two perspectives: technocentric and human centric. Rather than pick just one for his work, Carvalhaes uses data from both perspectives to understand how technology impacts the lives of people.
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.
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.
Unequal access to modern infrastructure is a feature of growing cities, according to a study published this week in the Proceedings of the National Academy of Sciences
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.