Filter News
Area of Research
News Topics
- (-) Computer Science (1)
- (-) Grid (1)
- (-) Sustainable Energy (2)
- 3-D Printing/Advanced Manufacturing (1)
- Artificial Intelligence (2)
- Bioenergy (2)
- Biology (4)
- Clean Water (1)
- Climate Change (2)
- Composites (1)
- Environment (3)
- High-Performance Computing (2)
- Hydropower (2)
- Machine Learning (1)
- Neutron Science (2)
Media Contacts
![Technology to retrofit nonpowered dams such as the Lake Sequoyah Dam in North Carolina could be tested before deploying to ensure performance and reliability. Credit: Scott DeNeale/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2022-12/Sequoyah%20png.png?h=3873714b&itok=rYD7mUje)
Researchers at Oak Ridge National Laboratory have identified a key need for future hydropower innovations – full-scale testing – to better inform developers and operators before making major investments.
![ORNL researchers led by Michael Garvin, left, and David Kainer discovered genetic mutations called structural variants and linked them to autism spectrum disorders, demonstrating an approach that could be used to develop better diagnostics and drug therapies. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2022-11/Novstorytip_autism_0.png?h=707772c7&itok=6_DcjloQ)
ORNL researchers discovered genetic mutations that underlie autism using a new approach that could lead to better diagnostics and drug therapies.
![ORNL’s Brenda Pracheil, left, and Kristine Moody collect water samples at Melton Hill Lake using a sophisticated instrument that collects DNA in the water to determine fish species and number of fish in the water, which could prove useful for monitoring hydropower impacts. Credit: Carlos Jones, ORNL/U.S Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2022-01/2020-P17436_0.jpg?h=c6980913&itok=BXPhSslk)
Researchers at Oak Ridge National Laboratory are using a novel approach in determining environmental impacts to aquatic species near hydropower facilities, potentially leading to smarter facility designs that can support electrical grid reliability.