Filter News
Area of Research
- (-) Materials for Computing (4)
- (-) National Security (11)
- Biology and Environment (22)
- Clean Energy (51)
- Computational Engineering (1)
- Computer Science (6)
- Electricity and Smart Grid (3)
- Functional Materials for Energy (1)
- Fusion and Fission (3)
- Materials (34)
- Neutron Science (5)
- Quantum information Science (3)
- Sensors and Controls (1)
- Supercomputing (31)
News Topics
- (-) Big Data (6)
- (-) Grid (6)
- (-) Microscopy (4)
- 3-D Printing/Advanced Manufacturing (6)
- Advanced Reactors (1)
- Artificial Intelligence (12)
- Bioenergy (3)
- Biology (5)
- Biomedical (4)
- Biotechnology (1)
- Buildings (1)
- Chemical Sciences (6)
- Climate Change (5)
- Composites (1)
- Computer Science (25)
- Coronavirus (5)
- Cybersecurity (19)
- Decarbonization (2)
- Energy Storage (6)
- Environment (6)
- Exascale Computing (1)
- Frontier (1)
- Fusion (1)
- High-Performance Computing (4)
- Isotopes (1)
- Machine Learning (12)
- Materials (12)
- Materials Science (18)
- Nanotechnology (8)
- National Security (35)
- Neutron Science (9)
- Nuclear Energy (5)
- Partnerships (4)
- Physics (1)
- Polymers (6)
- Quantum Computing (1)
- Quantum Science (4)
- Security (12)
- Simulation (1)
- Space Exploration (1)
- Summit (3)
- Sustainable Energy (7)
- Transportation (7)
Media Contacts
Digital twins are exactly what they sound like: virtual models of physical reality that continuously update to reflect changes in the real world.
Tristen Mullins enjoys the hidden side of computers. As a signals processing engineer for ORNL, she tries to uncover information hidden in components used on the nation’s power grid — information that may be susceptible to cyberattacks.
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.
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.
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.
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
Drilling with the beam of an electron microscope, scientists at ORNL precisely machined tiny electrically conductive cubes that can interact with light and organized them in patterned structures that confine and relay light’s electromagnetic signal.
Researchers working with Oak Ridge National Laboratory developed a new method to observe how proteins, at the single-molecule level, bind with other molecules and more accurately pinpoint certain molecular behavior in complex
When COVID-19 was declared a pandemic in March 2020, Oak Ridge National Laboratory’s Parans Paranthaman suddenly found himself working from home like millions of others.