Filter News
Area of Research
- (-) Biology and Soft Matter (1)
- (-) Computational Biology (1)
- Advanced Manufacturing (4)
- Biology and Environment (63)
- Clean Energy (122)
- Climate and Environmental Systems (2)
- Computational Engineering (2)
- Computer Science (7)
- Electricity and Smart Grid (1)
- Energy Sciences (1)
- Functional Materials for Energy (2)
- Fusion and Fission (7)
- Fusion Energy (1)
- Isotope Development and Production (1)
- Isotopes (6)
- Materials (78)
- Materials for Computing (11)
- Mathematics (1)
- National Security (33)
- Neutron Science (105)
- Nuclear Science and Technology (11)
- Quantum information Science (2)
- Supercomputing (81)
News Type
Media Contacts
![Elizabeth Herndon uses spectroscopic techniques at ORNL to analyze the chemical composition of leaves and other environmental samples to better understand the soil carbon cycle. Credit: Genevieve Martin/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2022-04/herndon1_0.jpg?h=e9eb73b3&itok=7hv7ziII)
ORNL biogeochemist Elizabeth Herndon is working with colleagues to investigate a piece of the puzzle that has received little attention thus far: the role of manganese in the carbon cycle.
![An ORNL-led team comprising researchers from multiple DOE national laboratories is using artificial intelligence and computational screening techniques – in combination with experimental validation – to identify and design five promising drug therapy approaches to target the SARS-CoV-2 virus. Credit: Michelle Lehman/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2021-06/frame1.png?h=d1cb525d&itok=51pwBWyP)
An ORNL-led team comprising researchers from multiple DOE national laboratories is using artificial intelligence and computational screening techniques – in combination with experimental validation – to identify and design five promising drug therapy approaches to target the SARS-CoV-2 virus.