Filter News
Area of Research
- (-) National Security (15)
- (-) Neutron Science (26)
- Advanced Manufacturing (10)
- Biology and Environment (33)
- Building Technologies (2)
- Clean Energy (93)
- Climate and Environmental Systems (1)
- Computational Engineering (3)
- Computer Science (14)
- Energy Sciences (1)
- Fusion and Fission (6)
- Fusion Energy (4)
- Isotope Development and Production (1)
- Isotopes (1)
- Materials (83)
- Materials Characterization (1)
- Materials for Computing (17)
- Materials Under Extremes (1)
- Mathematics (1)
- Nuclear Science and Technology (3)
- Quantum information Science (4)
- Supercomputing (62)
- Transportation Systems (1)
News Type
News Topics
- (-) Artificial Intelligence (8)
- (-) Computer Science (15)
- (-) Coronavirus (6)
- (-) Machine Learning (4)
- (-) Materials Science (16)
- (-) Microscopy (2)
- (-) Sustainable Energy (3)
- 3-D Printing/Advanced Manufacturing (4)
- Advanced Reactors (1)
- Big Data (3)
- Bioenergy (5)
- Biology (5)
- Biomedical (7)
- Biotechnology (1)
- Chemical Sciences (3)
- Climate Change (1)
- Composites (1)
- Cybersecurity (10)
- Decarbonization (1)
- Energy Storage (6)
- Environment (6)
- Exascale Computing (1)
- Frontier (2)
- Fusion (2)
- Grid (3)
- High-Performance Computing (2)
- Materials (10)
- Nanotechnology (7)
- National Security (11)
- Neutron Science (63)
- Nuclear Energy (3)
- Partnerships (4)
- Physics (9)
- Quantum Science (5)
- Security (7)
- Space Exploration (2)
- Summit (5)
- Transportation (5)
Media Contacts
ORNL is home to the world's fastest exascale supercomputer, Frontier, which was built in part to facilitate energy-efficient and scalable AI-based algorithms and simulations.
The Department of Energy’s Oak Ridge National Laboratory announced the establishment of the Center for AI Security Research, or CAISER, to address threats already present as governments and industries around the world adopt artificial intelligence and take advantage of the benefits it promises in data processing, operational efficiencies and decision-making.
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.
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.
A technology developed at ORNL and used by the U.S. Naval Information Warfare Systems Command, or NAVWAR, to test the capabilities of commercial security tools has been licensed to cybersecurity firm Penguin Mustache to create its Evasive.ai platform. The company was founded by the technology’s creator, former ORNL scientist Jared M. Smith, and his business partner, entrepreneur Brandon Bruce.
ORNL has entered a strategic research partnership with the United Kingdom Atomic Energy Authority, or UKAEA, to investigate how different types of materials behave under the influence of high-energy neutron sources. The $4 million project is part of UKAEA's roadmap program, which aims to produce electricity from fusion.
Warming a crystal of the mineral fresnoite, ORNL scientists discovered that excitations called phasons carried heat three times farther and faster than phonons, the excitations that usually carry heat through a material.
U2opia Technology, a consortium of technology and administrative executives with extensive experience in both industry and defense, has exclusively licensed two technologies from ORNL that offer a new method for advanced cybersecurity monitoring in real time.
Paul Langan will join ORNL in the spring as associate laboratory director for the Biological and Environmental Systems Science Directorate.
While studying how bio-inspired materials might inform the design of next-generation computers, scientists at ORNL achieved a first-of-its-kind result that could have big implications for both edge computing and human health.