Filter News
Area of Research
- (-) Nuclear Science and Technology (8)
- (-) Supercomputing (49)
- Advanced Manufacturing (2)
- Biological Systems (1)
- Biology and Environment (41)
- Clean Energy (71)
- Computational Biology (1)
- Computational Engineering (1)
- Computer Science (1)
- Fusion and Fission (6)
- Isotope Development and Production (1)
- Isotopes (24)
- Materials (83)
- Materials for Computing (11)
- National Security (11)
- Neutron Science (81)
News Type
News Topics
- (-) Big Data (14)
- (-) Biomedical (13)
- (-) Coronavirus (12)
- (-) Energy Storage (6)
- (-) Isotopes (5)
- (-) Neutron Science (14)
- (-) Physics (9)
- (-) Space Exploration (5)
- 3-D Printing/Advanced Manufacturing (8)
- Advanced Reactors (6)
- Artificial Intelligence (33)
- Bioenergy (9)
- Biology (10)
- Biotechnology (2)
- Buildings (3)
- Chemical Sciences (4)
- Climate Change (16)
- Computer Science (77)
- Cybersecurity (8)
- Decarbonization (4)
- Environment (18)
- Exascale Computing (19)
- Frontier (25)
- Fusion (7)
- Grid (4)
- High-Performance Computing (31)
- Machine Learning (12)
- Materials (12)
- Materials Science (17)
- Mathematics (1)
- Mercury (1)
- Microscopy (7)
- Molten Salt (2)
- Nanotechnology (10)
- National Security (8)
- Net Zero (1)
- Nuclear Energy (25)
- Partnerships (1)
- Quantum Computing (15)
- Quantum Science (20)
- Security (5)
- Simulation (11)
- Software (1)
- Summit (35)
- Sustainable Energy (8)
- Transformational Challenge Reactor (3)
- Transportation (5)
Media Contacts
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.
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.
A study led by researchers at ORNL used the nation’s fastest supercomputer to close in on the answer to a central question of modern physics that could help conduct development of the next generation of energy technologies.
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 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.
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.