Filter News
Area of Research
News Type
News Topics
- (-) Clean Water (1)
- (-) Composites (2)
- (-) Coronavirus (2)
- (-) Cybersecurity (3)
- (-) Machine Learning (3)
- (-) Security (2)
- 3-D Printing/Advanced Manufacturing (5)
- Artificial Intelligence (2)
- Big Data (2)
- Bioenergy (4)
- Biology (2)
- Biomedical (1)
- Biotechnology (1)
- Buildings (9)
- Climate Change (8)
- Computer Science (6)
- Decarbonization (9)
- Energy Storage (5)
- Environment (6)
- Grid (4)
- High-Performance Computing (1)
- Hydropower (1)
- Materials (2)
- Microscopy (1)
- National Security (7)
- Net Zero (1)
- Neutron Science (1)
- Partnerships (1)
- Polymers (1)
- Simulation (1)
- Summit (1)
- Sustainable Energy (7)
- Transportation (5)
Media Contacts
The presence of minerals called ash in plants makes little difference to the fitness of new naturally derived compound materials designed for additive manufacturing, an Oak Ridge National Laboratory-led team found.
Oak Ridge National Laboratory scientists designed a recyclable polymer for carbon-fiber composites to enable circular manufacturing of parts that boost energy efficiency in automotive, wind power and aerospace applications.
Having lived on three continents spanning the world’s four hemispheres, Philipe Ambrozio Dias understands the difficulties of moving to a new place.
A crowd of investors and supporters turned out for last week’s Innovation Crossroads Showcase at the Knoxville Chamber as part of Innov865 Week. Sponsored by ORNL and the Tennessee Advanced Energy Business Council, the event celebrated deep-tech entrepreneurs and the Oak Ridge Corridor as a growing energy innovation hub for the nation.
When the COVID-19 pandemic stunned the world in 2020, researchers at ORNL wondered how they could extend their support and help
Though Nell Barber wasn’t sure what her future held after graduating with a bachelor’s degree in psychology, she now uses her interest in human behavior to design systems that leverage machine learning algorithms to identify faces in a crowd.
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.
ORNL scientists had a problem mapping the genomes of bacteria to better understand the origins of their physical traits and improve their function for bioenergy production.