Filter News
Area of Research
- (-) Biology and Environment (30)
- (-) Transportation Systems (1)
- Advanced Manufacturing (1)
- Biology and Soft Matter (1)
- Clean Energy (38)
- Computational Biology (1)
- Computational Engineering (1)
- Computer Science (1)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (1)
- Fusion and Fission (24)
- Fusion Energy (13)
- Materials (16)
- Materials for Computing (2)
- National Security (5)
- Neutron Science (9)
- Nuclear Science and Technology (9)
- Supercomputing (47)
News Topics
- (-) Decarbonization (20)
- (-) Fusion (1)
- (-) Summit (10)
- 3-D Printing/Advanced Manufacturing (11)
- Advanced Reactors (1)
- Artificial Intelligence (9)
- Big Data (9)
- Bioenergy (45)
- Biology (73)
- Biomedical (16)
- Biotechnology (13)
- Buildings (2)
- Chemical Sciences (11)
- Clean Water (11)
- Climate Change (40)
- Composites (5)
- Computer Science (19)
- Coronavirus (13)
- Critical Materials (1)
- Cybersecurity (1)
- Energy Storage (7)
- Environment (89)
- Exascale Computing (4)
- Frontier (3)
- Grid (3)
- High-Performance Computing (20)
- Hydropower (8)
- Isotopes (2)
- Machine Learning (8)
- Materials (12)
- Materials Science (7)
- Mathematics (3)
- Mercury (7)
- Microscopy (10)
- Molten Salt (1)
- Nanotechnology (7)
- National Security (3)
- Net Zero (2)
- Neutron Science (4)
- Nuclear Energy (1)
- Partnerships (5)
- Physics (2)
- Polymers (2)
- Renewable Energy (1)
- Security (2)
- Simulation (14)
- Sustainable Energy (30)
- Transformational Challenge Reactor (1)
- Transportation (5)
Media Contacts
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.
Oak Ridge National Laboratory researchers developed and demonstrated algorithm-based controls for a hybrid electric bus that yielded up to 30% energy savings compared with existing controls.
Improved data, models and analyses from ORNL scientists and many other researchers in the latest global climate assessment report provide new levels of certainty about what the future holds for the planet
Scientists at ORNL have discovered a single gene that simultaneously boosts plant growth and tolerance for stresses such as drought and salt, all while tackling the root cause of climate change by enabling plants to pull more carbon dioxide from the atmosphere.
The Department of Energy’s Office of Science has selected five Oak Ridge National Laboratory scientists for Early Career Research Program awards.
The Accelerating Therapeutics for Opportunities in Medicine , or ATOM, consortium today announced the U.S. Department of Energy’s Oak Ridge, Argonne and Brookhaven national laboratories are joining the consortium to further develop ATOM’s artificial intelligence, or AI-driven, drug discovery platform.
A team led by Dan Jacobson of Oak Ridge National Laboratory used the Summit supercomputer at ORNL to analyze genes from cells in the lung fluid of nine COVID-19 patients compared with 40 control patients.
With the rise of the global pandemic, Omar Demerdash, a Liane B. Russell Distinguished Staff Fellow at ORNL since 2018, has become laser-focused on potential avenues to COVID-19 therapies.
In the race to identify solutions to the COVID-19 pandemic, researchers at the Department of Energy’s Oak Ridge National Laboratory are joining the fight by applying expertise in computational science, advanced manufacturing, data science and neutron science.