Filter News
Area of Research
- (-) National Security (4)
- (-) Supercomputing (16)
- Advanced Manufacturing (1)
- Biology and Environment (30)
- Clean Energy (35)
- Computational Engineering (1)
- Fuel Cycle Science and Technology (1)
- Fusion and Fission (15)
- Fusion Energy (1)
- Isotope Development and Production (1)
- Isotopes (14)
- Materials (27)
- Materials for Computing (3)
- Neutron Science (9)
- Nuclear Science and Technology (12)
News Type
News Topics
- (-) Biomedical (5)
- (-) Coronavirus (5)
- (-) Decarbonization (1)
- (-) Isotopes (1)
- (-) Microscopy (5)
- (-) Nuclear Energy (4)
- 3-D Printing/Advanced Manufacturing (5)
- Advanced Reactors (1)
- Artificial Intelligence (19)
- Big Data (2)
- Bioenergy (7)
- Biology (5)
- Biotechnology (1)
- Buildings (1)
- Chemical Sciences (3)
- Climate Change (6)
- Computer Science (40)
- Cybersecurity (17)
- Energy Storage (5)
- Environment (6)
- Exascale Computing (8)
- Frontier (13)
- Fusion (1)
- Grid (5)
- High-Performance Computing (14)
- Machine Learning (10)
- Materials (9)
- Materials Science (6)
- Molten Salt (1)
- Nanotechnology (5)
- National Security (21)
- Neutron Science (8)
- Partnerships (4)
- Physics (5)
- Quantum Computing (5)
- Quantum Science (11)
- Security (9)
- Simulation (2)
- Space Exploration (1)
- Summit (14)
- Sustainable Energy (6)
- Transportation (3)
Media Contacts
Scientists at ORNL used their expertise in quantum biology, artificial intelligence and bioengineering to improve how CRISPR Cas9 genome editing tools work on organisms like microbes that can be modified to produce renewable fuels and chemicals.
Like most scientists, Chengping Chai is not content with the surface of things: He wants to probe beyond to learn what’s really going on. But in his case, he is literally building a map of the world beneath, using seismic and acoustic data that reveal when and where the earth moves.
Researchers at ORNL have developed a machine-learning inspired software package that provides end-to-end image analysis of electron and scanning probe microscopy images.
A team of scientists led by the Department of Energy’s Oak Ridge National Laboratory designed a molecule that disrupts the infection mechanism of the SARS-CoV-2 coronavirus and could be used to develop new treatments for COVID-19 and other viral diseases.
Stephen Dahunsi’s desire to see more countries safely deploy nuclear energy is personal. Growing up in Nigeria, he routinely witnessed prolonged electricity blackouts as a result of unreliable energy supplies. It’s a problem he hopes future generations won’t have to experience.
A partnership of ORNL, the Tennessee Department of Economic and Community Development, the Community Reuse Organization of East Tennessee and TVA that aims to attract nuclear energy-related firms to Oak Ridge has been recognized with a state and local economic development award from the Federal Laboratory Consortium.
The Frontier supercomputer at the Department of Energy’s Oak Ridge National Laboratory earned the top ranking today as the world’s fastest on the 59th TOP500 list, with 1.1 exaflops of performance. The system is the first to achieve an unprecedented level of computing performance known as exascale, a threshold of a quintillion calculations per second.
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.
Researchers at ORNL are teaching microscopes to drive discoveries with an intuitive algorithm, developed at the lab’s Center for Nanophase Materials Sciences, that could guide breakthroughs in new materials for energy technologies, sensing and computing.
A world-leading researcher in solid electrolytes and sophisticated electron microscopy methods received Oak Ridge National Laboratory’s top science honor today for her work in developing new materials for batteries. The announcement was made during a livestreamed Director’s Awards event hosted by ORNL Director Thomas Zacharia.