Filter News
Area of Research
News Topics
- (-) Critical Materials (1)
- (-) Grid (1)
- 3-D Printing/Advanced Manufacturing (1)
- Artificial Intelligence (1)
- Bioenergy (2)
- Biology (5)
- Biomedical (1)
- Clean Water (1)
- Climate Change (2)
- Composites (1)
- Computer Science (2)
- Environment (3)
- Exascale Computing (1)
- High-Performance Computing (3)
- Hydropower (2)
- Machine Learning (1)
- Simulation (1)
- Summit (1)
- Sustainable Energy (2)
Media Contacts
![Researchers used quantum Monte Carlo calculations to accurately render the structure and electronic properties of germanium selenide, a semiconducting nanomaterial. Credit: Paul Kent/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2022-09/ECP-storytip_0.png?h=e58db2e8&itok=ZzbB2Z-f)
A multi-lab research team led by ORNL's Paul Kent is developing a computer application called QMCPACK to enable precise and reliable predictions of the fundamental properties of materials critical in energy research.
![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.