Filter News
Area of Research
- (-) Computer Science (17)
- (-) Energy Sciences (1)
- (-) Neutron Science (39)
- Advanced Manufacturing (5)
- Biological Systems (2)
- Biology and Environment (135)
- Biology and Soft Matter (1)
- Building Technologies (1)
- Clean Energy (165)
- Climate and Environmental Systems (5)
- Computational Biology (2)
- Computational Engineering (3)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (2)
- Fusion and Fission (9)
- Fusion Energy (2)
- Isotopes (8)
- Materials (76)
- Materials for Computing (12)
- Mathematics (1)
- National Security (31)
- Nuclear Science and Technology (6)
- Quantum information Science (7)
- Supercomputing (140)
News Topics
- (-) Artificial Intelligence (12)
- (-) Bioenergy (6)
- (-) Biomedical (11)
- (-) Composites (1)
- (-) Computer Science (26)
- (-) Energy Storage (9)
- (-) Environment (9)
- (-) Frontier (1)
- 3-D Printing/Advanced Manufacturing (6)
- Advanced Reactors (1)
- Big Data (6)
- Biology (5)
- Biotechnology (1)
- Buildings (1)
- Chemical Sciences (2)
- Clean Water (2)
- Climate Change (1)
- Coronavirus (8)
- Cybersecurity (2)
- Decarbonization (2)
- Exascale Computing (1)
- Fossil Energy (1)
- Fusion (1)
- Grid (2)
- High-Performance Computing (4)
- Machine Learning (6)
- Materials (14)
- Materials Science (24)
- Mathematics (1)
- Microscopy (3)
- Nanotechnology (10)
- National Security (2)
- Neutron Science (99)
- Nuclear Energy (3)
- Physics (9)
- Polymers (1)
- Quantum Computing (1)
- Quantum Science (9)
- Security (2)
- Space Exploration (3)
- Summit (7)
- Sustainable Energy (5)
- Transportation (5)
Media Contacts
Researchers at ORNL and the University of Tennessee, Knoxville, discovered a key material needed for fast-charging lithium-ion batteries. The commercially relevant approach opens a potential pathway to improve charging speeds for electric vehicles.
Oak Ridge National Laboratory researchers are developing a first-of-its-kind artificial intelligence device for neutron scattering called Hyperspectral Computed Tomography, or HyperCT.
A force within the supercomputing community, Jack Dongarra developed software packages that became standard in the industry, allowing high-performance computers to become increasingly more powerful in recent decades.
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.
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.
Oak Ridge National Laboratory, University of Tennessee and University of Central Florida researchers released a new high-performance computing code designed to more efficiently examine power systems and identify electrical grid disruptions, such as
To minimize potential damage from underground oil and gas leaks, Oak Ridge National Laboratory is co-developing a quantum sensing system to detect pipeline leaks more quickly.
Oak Ridge National Laboratory researchers designed and field-tested an algorithm that could help homeowners maintain comfortable temperatures year-round while minimizing utility costs.
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.
At the Department of Energy’s Oak Ridge National Laboratory, scientists use artificial intelligence, or AI, to accelerate the discovery and development of materials for energy and information technologies.