Filter News
Area of Research
- (-) Biology and Environment (102)
- (-) Materials for Computing (13)
- (-) Neutron Science (72)
- Advanced Manufacturing (5)
- Biological Systems (1)
- Biology and Soft Matter (4)
- Building Technologies (2)
- Chemical and Engineering Materials (3)
- Chemistry and Physics at Interfaces (7)
- Clean Energy (168)
- Climate and Environmental Systems (7)
- Computational Biology (1)
- Computational Chemistry (5)
- Computational Engineering (1)
- Computer Science (3)
- Data (1)
- Earth Sciences (1)
- Electricity and Smart Grid (1)
- Energy Frontier Research Centers (7)
- Fuel Cycle Science and Technology (2)
- Functional Materials for Energy (8)
- Fusion and Fission (32)
- Fusion Energy (7)
- Geographic Information Science and Technology (1)
- Isotopes (21)
- Materials (122)
- Materials Synthesis from Atoms to Systems (8)
- Materials Under Extremes (7)
- National Security (45)
- Neutron Data Analysis and Visualization (2)
- Nuclear Science and Technology (27)
- Quantum Condensed Matter (3)
- Quantum information Science (4)
- Renewable Energy (2)
- Sensors and Controls (2)
- Supercomputing (153)
- Transportation Systems (4)
News Type
News Topics
- 3-D Printing/Advanced Manufacturing (4)
- Artificial Intelligence (8)
- Big Data (7)
- Bioenergy (28)
- Biology (43)
- Biomedical (13)
- Biotechnology (6)
- Chemical Sciences (5)
- Clean Water (10)
- Climate Change (23)
- Composites (1)
- Computer Science (19)
- Coronavirus (8)
- Decarbonization (16)
- Energy Storage (6)
- Environment (60)
- Exascale Computing (4)
- Fossil Energy (1)
- Frontier (3)
- High-Performance Computing (13)
- Hydropower (5)
- Machine Learning (7)
- Materials (8)
- Materials Science (12)
- Mathematics (3)
- Mercury (6)
- Microscopy (9)
- Nanotechnology (7)
- National Security (3)
- Net Zero (1)
- Neutron Science (34)
- Nuclear Energy (1)
- Physics (2)
- Polymers (3)
- Quantum Computing (1)
- Quantum Science (1)
- Renewable Energy (1)
- Security (2)
- Simulation (9)
- Space Exploration (1)
- Summit (8)
- Sustainable Energy (17)
- Transportation (3)
Media Contacts
ORNL scientists had a problem mapping the genomes of bacteria to better understand the origins of their physical traits and improve their function for bioenergy production.
The rapid pace of global climate change has added urgency to developing technologies that reduce the carbon footprint of transportation technologies, especially in sectors that are difficult to electrify.
A study by researchers at the ORNL takes a fresh look at what could become the first step toward a new generation of solar batteries.
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.
Cement trucks entering and exiting the Spallation Neutron Source are a common sight as construction of the VENUS neutron imaging beamline progresses. Slated for completion and commissioning in 2024-2025, VENUS is the twentieth neutron instrument at SNS and will offer many new capabilities.
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.