Filter News
Area of Research
- (-) Biology and Environment (29)
- (-) National Security (23)
- Advanced Manufacturing (2)
- Biological Systems (1)
- Clean Energy (26)
- Computational Biology (2)
- Computational Engineering (2)
- Computer Science (7)
- Fusion and Fission (8)
- Fusion Energy (8)
- Isotopes (6)
- Materials (26)
- Materials for Computing (7)
- Neutron Science (25)
- Nuclear Science and Technology (12)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (8)
- Sensors and Controls (1)
- Supercomputing (82)
News Type
News Topics
- (-) Advanced Reactors (2)
- (-) Biomedical (17)
- (-) Machine Learning (19)
- (-) Quantum Science (1)
- (-) Security (12)
- (-) Summit (12)
- 3-D Printing/Advanced Manufacturing (13)
- Artificial Intelligence (21)
- Big Data (15)
- Bioenergy (46)
- Biology (74)
- Biotechnology (13)
- Buildings (3)
- Chemical Sciences (12)
- Clean Water (11)
- Climate Change (42)
- Composites (5)
- Computer Science (36)
- Coronavirus (15)
- Critical Materials (1)
- Cybersecurity (18)
- Decarbonization (21)
- Energy Storage (8)
- Environment (89)
- Exascale Computing (5)
- Frontier (4)
- Fusion (2)
- Grid (9)
- High-Performance Computing (24)
- Hydropower (8)
- Isotopes (2)
- Materials (13)
- Materials Science (10)
- Mathematics (3)
- Mercury (7)
- Microscopy (10)
- Molten Salt (1)
- Nanotechnology (8)
- National Security (34)
- Net Zero (2)
- Neutron Science (7)
- Nuclear Energy (5)
- Partnerships (8)
- Physics (3)
- Polymers (2)
- Renewable Energy (1)
- Simulation (14)
- Sustainable Energy (32)
- Transformational Challenge Reactor (1)
- Transportation (7)
Media Contacts
ORNL scientists will present new technologies available for licensing during the annual Technology Innovation Showcase. The event is 9 a.m. to 3 p.m. Thursday, June 16, at the Manufacturing Demonstration Facility at ORNL’s Hardin Valley campus.
It’s a simple premise: To truly improve the health, safety, and security of human beings, you must first understand where those individuals are.
ORNL researchers used the nation’s fastest supercomputer to map the molecular vibrations of an important but little-studied uranium compound produced during the nuclear fuel cycle for results that could lead to a cleaner, safer world.
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.
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.
ORNL, TVA and TNECD were recognized by the Federal Laboratory Consortium for their impactful partnership that resulted in a record $2.3 billion investment by Ultium Cells, a General Motors and LG Energy Solution joint venture, to build a battery cell manufacturing plant in Spring Hill, Tennessee.
Scientists have developed a novel approach to computationally infer previously undetected behaviors within complex biological environments by analyzing live, time-lapsed images that show the positioning of embryonic cells in C. elegans, or roundworms. Their published methods could be used to reveal hidden biological activity.
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.
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 and the University of Wisconsin–Madison have discovered that genetically distinct populations within the same species of fungi can produce unique mixes of secondary metabolites, which are organic compounds with applications in