Filter News
Area of Research
News Topics
- Artificial Intelligence (2)
- Big Data (1)
- Bioenergy (11)
- Biology (16)
- Biomedical (1)
- Biotechnology (2)
- Chemical Sciences (3)
- Clean Water (2)
- Climate Change (13)
- Composites (1)
- Computer Science (3)
- Coronavirus (1)
- Decarbonization (7)
- Environment (18)
- Exascale Computing (1)
- Frontier (1)
- High-Performance Computing (3)
- Hydropower (3)
- Isotopes (1)
- Machine Learning (2)
- Materials (5)
- Materials Science (3)
- Mercury (1)
- Microscopy (6)
- Nanotechnology (2)
- Net Zero (1)
- Neutron Science (1)
- Physics (1)
- Polymers (1)
- Simulation (1)
- Summit (2)
- Sustainable Energy (6)
Media Contacts
Bryan Piatkowski, a Liane Russell Distinguished Fellow in the Biosciences Division at ORNL, is exploring the genetic pathways for traits such as stress tolerance in several plant species important for carbon sequestration
A team of researchers working within the Center for Bioenergy Innovation at ORNL has discovered a pathway to encourage a type of lignin formation in plants that could make the processing of crops grown for products such as sustainable jet fuels easier and less costly.
Surrounded by the mountains of landlocked Tennessee, Oak Ridge National Laboratory’s Teri O’Meara is focused on understanding the future of the vitally important ecosystems lining the nation’s coasts.
Spanning no less than three disciplines, Marie Kurz’s title — hydrogeochemist — already gives you a sense of the collaborative, interdisciplinary nature of her research at ORNL.
Energy and sustainability experts from ORNL, industry, universities and the federal government recently identified key focus areas to meet the challenge of successfully decarbonizing the agriculture sector
A team of scientists led by the Department of Energy’s Oak Ridge National Laboratory and the Georgia Institute of Technology is using supercomputing and revolutionary deep learning tools to predict the structures and roles of thousands of proteins with unknown functions.
Neuromorphic devices — which emulate the decision-making processes of the human brain — show great promise for solving pressing scientific problems, but building physical systems to realize this potential presents researchers with a significant