Filter News
Area of Research
- Biology and Environment (14)
- Biology and Soft Matter (1)
- Clean Energy (20)
- Computational Biology (1)
- Electricity and Smart Grid (1)
- Fusion and Fission (3)
- Isotopes (2)
- Materials (22)
- Materials for Computing (2)
- National Security (9)
- Neutron Science (6)
- Nuclear Science and Technology (3)
- Quantum information Science (2)
- Supercomputing (24)
News Type
News Topics
- (-) Artificial Intelligence (51)
- (-) Chemical Sciences (27)
- (-) Grid (26)
- (-) Mathematics (7)
- (-) Microscopy (20)
- (-) Polymers (8)
- (-) Space Exploration (12)
- (-) Transformational Challenge Reactor (3)
- 3-D Printing/Advanced Manufacturing (43)
- Advanced Reactors (8)
- Big Data (29)
- Bioenergy (51)
- Biology (60)
- Biomedical (31)
- Biotechnology (12)
- Buildings (23)
- Clean Water (15)
- Climate Change (52)
- Composites (8)
- Computer Science (89)
- Coronavirus (17)
- Critical Materials (5)
- Cybersecurity (14)
- Decarbonization (47)
- Education (2)
- Emergency (2)
- Energy Storage (30)
- Environment (105)
- Exascale Computing (29)
- Fossil Energy (4)
- Frontier (26)
- Fusion (31)
- High-Performance Computing (48)
- Hydropower (5)
- Isotopes (31)
- ITER (2)
- Machine Learning (23)
- Materials (44)
- Materials Science (47)
- Mercury (7)
- Microelectronics (3)
- Molten Salt (1)
- Nanotechnology (16)
- National Security (46)
- Net Zero (8)
- Neutron Science (51)
- Nuclear Energy (56)
- Partnerships (21)
- Physics (31)
- Quantum Computing (22)
- Quantum Science (32)
- Renewable Energy (1)
- Security (12)
- Simulation (33)
- Software (1)
- Statistics (1)
- Summit (31)
- Sustainable Energy (48)
- Transportation (27)
Media Contacts
It’s a simple premise: To truly improve the health, safety, and security of human beings, you must first understand where those individuals are.
A team of researchers has developed a novel, machine learning–based technique to explore and identify relationships among medical concepts using electronic health record data across multiple healthcare providers.
A study led by researchers at ORNL could help make materials design as customizable as point-and-click.
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.
Unequal access to modern infrastructure is a feature of growing cities, according to a study published this week in the Proceedings of the National Academy of Sciences
Bruce Warmack has been fascinated by science since his mother finally let him have a chemistry set at the age of nine. He’d been pestering her for one since he was six.
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.
Energy Secretary Jennifer Granholm visited ORNL on Nov. 22 for a two-hour tour, meeting top scientists and engineers as they highlighted projects and world-leading capabilities that address some of the country’s most complex research and technical challenges.
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.
Deborah Frincke, one of the nation’s preeminent computer scientists and cybersecurity experts, serves as associate laboratory director of ORNL’s National Security Science Directorate. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy