Filter News
Area of Research
- (-) Supercomputing (28)
- Advanced Manufacturing (2)
- Biology and Environment (21)
- Clean Energy (62)
- Climate and Environmental Systems (1)
- Computational Engineering (2)
- Computer Science (4)
- Fusion and Fission (4)
- Fusion Energy (7)
- Isotopes (9)
- Materials (28)
- Materials for Computing (4)
- Mathematics (1)
- National Security (15)
- Neutron Science (6)
- Nuclear Science and Technology (11)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (2)
- Transportation Systems (2)
News Type
News Topics
- (-) Advanced Reactors (1)
- (-) Big Data (5)
- (-) Climate Change (5)
- (-) Cybersecurity (6)
- (-) Isotopes (1)
- (-) Molten Salt (1)
- (-) Quantum Computing (9)
- (-) Transportation (3)
- 3-D Printing/Advanced Manufacturing (3)
- Artificial Intelligence (13)
- Bioenergy (6)
- Biology (5)
- Biomedical (9)
- Biotechnology (1)
- Buildings (1)
- Chemical Sciences (4)
- Computer Science (47)
- Coronavirus (7)
- Critical Materials (3)
- Decarbonization (1)
- Energy Storage (6)
- Environment (7)
- Exascale Computing (8)
- Frontier (13)
- Fusion (1)
- Grid (3)
- High-Performance Computing (14)
- Machine Learning (6)
- Materials (9)
- Materials Science (7)
- Microscopy (5)
- Nanotechnology (6)
- National Security (5)
- Neutron Science (7)
- Nuclear Energy (2)
- Partnerships (1)
- Physics (4)
- Polymers (2)
- Quantum Science (13)
- Security (4)
- Simulation (2)
- Space Exploration (2)
- Summit (20)
- Sustainable Energy (6)
Media Contacts
Researchers from institutions including ORNL have created a new method for statistically analyzing climate models that projects future conditions with more fidelity.
Researchers from Oak Ridge National Laboratory and Northeastern University modeled how extreme conditions in a changing climate affect the land’s ability to absorb atmospheric carbon — a key process for mitigating human-caused emissions. They found that 88% of Earth’s regions could become carbon emitters by the end of the 21st century.
An advance in a topological insulator material — whose interior behaves like an electrical insulator but whose surface behaves like a conductor — could revolutionize the fields of next-generation electronics and quantum computing, according to scientists at ORNL.
A study led by Oak Ridge National Laboratory researchers identifies a new potential application in quantum computing that could be part of the next computational revolution.
A study by Oak Ridge National Laboratory researchers has demonstrated how satellites could enable more efficient, secure quantum networks.
Laboratory Director Thomas Zacharia presented five Director’s Awards during Saturday night's annual Awards Night event hosted by UT-Battelle, which manages ORNL for the Department of Energy.
Using existing experimental and computational resources, a multi-institutional team has developed an effective method for measuring high-dimensional qudits encoded in quantum frequency combs, which are a type of photon source, on a single optical chip.
Two years after ORNL provided a model of nearly every building in America, commercial partners are using the tool for tasks ranging from designing energy-efficient buildings and cities to linking energy efficiency to real estate value and risk.
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.
Scientists’ increasing mastery of quantum mechanics is heralding a new age of innovation. Technologies that harness the power of nature’s most minute scale show enormous potential across the scientific spectrum