Filter News
Area of Research
- (-) Electricity and Smart Grid (1)
- (-) National Security (26)
- (-) Neutron Science (34)
- (-) Nuclear Science and Technology (9)
- Advanced Manufacturing (24)
- Biological Systems (1)
- Biology and Environment (122)
- Biology and Soft Matter (1)
- Building Technologies (3)
- Clean Energy (170)
- Climate and Environmental Systems (2)
- Computational Biology (2)
- Computational Engineering (3)
- Computer Science (15)
- Energy Sciences (1)
- Functional Materials for Energy (1)
- Fusion and Fission (14)
- Fusion Energy (4)
- Isotopes (6)
- Materials (89)
- Materials for Computing (17)
- Mathematics (1)
- Quantum information Science (7)
- Supercomputing (130)
News Topics
- (-) 3-D Printing/Advanced Manufacturing (12)
- (-) Biology (9)
- (-) Biomedical (15)
- (-) Chemical Sciences (4)
- (-) Clean Water (2)
- (-) Computer Science (33)
- (-) Frontier (3)
- (-) Polymers (1)
- (-) Sustainable Energy (6)
- Advanced Reactors (12)
- Artificial Intelligence (19)
- Big Data (8)
- Bioenergy (10)
- Biotechnology (2)
- Buildings (2)
- Climate Change (5)
- Composites (1)
- Coronavirus (11)
- Cybersecurity (19)
- Decarbonization (6)
- Energy Storage (9)
- Environment (14)
- Exascale Computing (1)
- Fossil Energy (1)
- Fusion (10)
- Grid (9)
- High-Performance Computing (7)
- Isotopes (5)
- Machine Learning (16)
- Materials (17)
- Materials Science (28)
- Mathematics (1)
- Microelectronics (1)
- Microscopy (3)
- Molten Salt (4)
- Nanotechnology (11)
- National Security (34)
- Neutron Science (101)
- Nuclear Energy (41)
- Partnerships (5)
- Physics (11)
- Quantum Computing (1)
- Quantum Science (8)
- Security (12)
- Simulation (2)
- Space Exploration (8)
- Summit (7)
- Transformational Challenge Reactor (3)
- Transportation (7)
Media Contacts
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.
Tackling the climate crisis and achieving an equitable clean energy future are among the biggest challenges of our time.
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.
More than 50 current employees and recent retirees from ORNL received Department of Energy Secretary’s Honor Awards from Secretary Jennifer Granholm in January as part of project teams spanning the national laboratory system. The annual awards recognized 21 teams and three individuals for service and contributions to DOE’s mission and to the benefit of the nation.
Three ORNL scientists have been elected fellows of the American Association for the Advancement of Science, or AAAS, the world’s largest general scientific society and publisher of the Science family of journals.
A team of collaborators from ORNL, Google Inc., Snowflake Inc. and Ververica GmbH has tested a computing concept that could help speed up real-time processing of data that stream on mobile and other electronic devices.
A team led by the U.S. Department of Energy’s Oak Ridge National Laboratory demonstrated the viability of a “quantum entanglement witness” capable of proving the presence of entanglement between magnetic particles, or spins, in a quantum material.
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.
The Department of Energy’s Office of Science has selected five Oak Ridge National Laboratory scientists for Early Career Research Program awards.
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