Filter News
Area of Research
- Advanced Manufacturing (14)
- Biology and Environment (45)
- Biology and Soft Matter (1)
- Building Technologies (1)
- Clean Energy (67)
- Climate and Environmental Systems (2)
- Computational Biology (1)
- Computational Engineering (2)
- Computer Science (5)
- Fusion and Fission (18)
- Fusion Energy (13)
- Materials (28)
- Materials for Computing (8)
- Mathematics (1)
- National Security (14)
- Neutron Science (11)
- Nuclear Science and Technology (15)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (7)
- Supercomputing (51)
News Type
News Topics
- (-) 3-D Printing/Advanced Manufacturing (63)
- (-) Advanced Reactors (19)
- (-) Artificial Intelligence (51)
- (-) Climate Change (63)
- (-) Fusion (36)
- (-) Microscopy (30)
- (-) Quantum Science (34)
- (-) Security (11)
- Big Data (35)
- Bioenergy (61)
- Biology (70)
- Biomedical (37)
- Biotechnology (12)
- Buildings (33)
- Chemical Sciences (26)
- Clean Water (26)
- Composites (14)
- Computer Science (115)
- Coronavirus (28)
- Critical Materials (12)
- Cybersecurity (17)
- Decarbonization (46)
- Emergency (1)
- Energy Storage (58)
- Environment (140)
- Exascale Computing (22)
- Fossil Energy (3)
- Frontier (20)
- Grid (40)
- High-Performance Computing (49)
- Hydropower (11)
- Irradiation (2)
- Isotopes (28)
- ITER (5)
- Machine Learning (28)
- Materials (71)
- Materials Science (67)
- Mathematics (6)
- Mercury (10)
- Microelectronics (2)
- Molten Salt (6)
- Nanotechnology (28)
- National Security (33)
- Net Zero (7)
- Neutron Science (70)
- Nuclear Energy (67)
- Partnerships (12)
- Physics (29)
- Polymers (15)
- Quantum Computing (19)
- Renewable Energy (1)
- Simulation (29)
- Software (1)
- Space Exploration (21)
- Statistics (1)
- Summit (35)
- Sustainable Energy (78)
- Transformational Challenge Reactor (3)
- Transportation (60)
Media Contacts
Researchers simulated a key quantum state at one of the largest scales reported, with support from the Quantum Computing User Program, or QCUP, at ORNL.
Rishi Pillai and his research team from ORNL will receive a Best Paper award from the American Society of Mechanical Engineers International Gas Turbine Institute in June at the Turbo Expo 2024 in London.
Held in Cocoa Beach, Florida from March 11 to 14, researchers across the computing and data spectra participated in sessions developed by staff members from the Department of Energy’s Oak Ridge National Laboratory, or ORNL, Sandia National Laboratories and the Swiss National Supercomputing Centre.
ORNL’s Erin Webb is co-leading a new Circular Bioeconomy Systems Convergent Research Initiative focused on advancing production and use of renewable carbon from Tennessee to meet societal needs.
ORNL scientists have spent the past 20 years studying quantum photonic entanglement. Their partnership with colleagues at Los Alamos National Laboratory and private industry partner Qubitekk led to development of the nation’s first industry-led commercial quantum network. This type of network could ultimately help secure the nation’s power grid and other infrastructure from cyberattacks.
In the age of easy access to generative AI software, user can take steps to stay safe. Suhas Sreehari, an applied mathematician, identifies misconceptions of generative AI that could lead to unintentionally bad outcomes for a user.
Scientists at ORNL have developed 3D-printed collimator techniques that can be used to custom design collimators that better filter out noise during different types of neutron scattering experiments
ORNL scientists have determined how to avoid costly and potentially irreparable damage to large metallic parts fabricated through additive manufacturing, also known as 3D printing, that is caused by residual stress in the material.
An experiment by researchers at the Department of Energy’s Oak Ridge National Laboratory demonstrated advanced quantum-based cybersecurity can be realized in a deployed fiber link.
In partnership with the National Cancer Institute, researchers from the Department of Energy’s Oak Ridge National Laboratory’s Modeling Outcomes for Surveillance using Scalable Artificial Intelligence are building on their groundbreaking work to