Filter News
Area of Research
- (-) Biology and Soft Matter (1)
- (-) Computer Science (2)
- Biology and Environment (98)
- Clean Energy (56)
- Climate and Environmental Systems (5)
- Computational Biology (1)
- Computational Engineering (2)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (1)
- Fusion and Fission (2)
- Fusion Energy (1)
- Isotopes (1)
- Materials (17)
- Materials for Computing (2)
- Mathematics (1)
- National Security (6)
- Neutron Science (13)
- Nuclear Science and Technology (1)
- Supercomputing (60)
News Type
News Topics
- (-) Environment (2)
- (-) Summit (1)
- Artificial Intelligence (6)
- Big Data (4)
- Buildings (1)
- Chemical Sciences (1)
- Climate Change (1)
- Computer Science (15)
- Cybersecurity (1)
- Decarbonization (1)
- Energy Storage (2)
- Exascale Computing (1)
- Grid (2)
- High-Performance Computing (2)
- Machine Learning (4)
- Materials Science (1)
- Quantum Science (3)
- Sustainable Energy (2)
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.
![Dongarra in 2019 with Oak Ridge National Laboratory's Summit supercomputer](/sites/default/files/styles/list_page_thumbnail/public/2022-03/I%29%20Dongarra_IBM_Summit_Superomputer.jpeg?h=4bf1c8f5&itok=9sM8m0Iz)
A force within the supercomputing community, Jack Dongarra developed software packages that became standard in the industry, allowing high-performance computers to become increasingly more powerful in recent decades.
![Heat impact map](/sites/default/files/styles/list_page_thumbnail/public/2019-07/Winter_HDD_Change_ORNL.gif?h=e87b941e&itok=8t83D_u_)
A detailed study by Oak Ridge National Laboratory estimated how much more—or less—energy United States residents might consume by 2050 relative to predicted shifts in seasonal weather patterns