Filter News
Area of Research
News Topics
- (-) Artificial Intelligence (6)
- (-) Biomedical (4)
- (-) Microscopy (2)
- (-) Security (2)
- (-) Transportation (1)
- Advanced Reactors (1)
- Big Data (2)
- Bioenergy (2)
- Biology (4)
- Buildings (2)
- Chemical Sciences (2)
- Climate Change (4)
- Computer Science (14)
- Coronavirus (3)
- Cybersecurity (1)
- Decarbonization (1)
- Energy Storage (2)
- Environment (2)
- Exascale Computing (4)
- Frontier (6)
- Grid (1)
- High-Performance Computing (5)
- Isotopes (2)
- Machine Learning (4)
- Materials (7)
- Materials Science (5)
- Molten Salt (1)
- Nanotechnology (3)
- National Security (3)
- Neutron Science (1)
- Nuclear Energy (3)
- Partnerships (1)
- Physics (2)
- Quantum Computing (7)
- Quantum Science (5)
- Simulation (3)
- Space Exploration (1)
- Summit (7)
- Sustainable Energy (1)
Media Contacts
To optimize biomaterials for reliable, cost-effective paper production, building construction, and biofuel development, researchers often study the structure of plant cells using techniques such as freezing plant samples or placing them in a vacuum.
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 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.
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.
To explore the inner workings of severe acute respiratory syndrome coronavirus 2, or SARS-CoV-2, researchers from ORNL developed a novel technique.
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.
Long-haul tractor trailers, often referred to as “18-wheelers,” transport everything from household goods to supermarket foodstuffs across the United States every year. According to the Bureau of Transportation Statistics, these trucks moved more than 10 billion tons of goods—70.6 ...