Filter News
Area of Research
- (-) Fusion and Fission (4)
- (-) Materials for Computing (3)
- (-) National Security (9)
- Advanced Manufacturing (3)
- Biological Systems (1)
- Biology and Environment (35)
- Clean Energy (34)
- Computational Biology (1)
- Materials (22)
- Neutron Science (34)
- Nuclear Science and Technology (4)
- Quantum information Science (2)
- Supercomputing (21)
News Topics
- (-) 3-D Printing/Advanced Manufacturing (4)
- (-) Big Data (4)
- (-) Bioenergy (3)
- (-) Composites (1)
- (-) Microscopy (1)
- (-) Neutron Science (4)
- Advanced Reactors (2)
- Artificial Intelligence (7)
- Biology (3)
- Biomedical (1)
- Biotechnology (1)
- Buildings (2)
- Chemical Sciences (3)
- Climate Change (4)
- Computer Science (13)
- Coronavirus (2)
- Cybersecurity (8)
- Decarbonization (3)
- Energy Storage (4)
- Environment (5)
- Exascale Computing (1)
- Frontier (1)
- Fusion (12)
- Grid (4)
- High-Performance Computing (5)
- ITER (2)
- Machine Learning (8)
- Materials (3)
- Materials Science (6)
- Nanotechnology (4)
- National Security (22)
- Net Zero (1)
- Nuclear Energy (19)
- Partnerships (1)
- Physics (1)
- Polymers (1)
- Quantum Computing (1)
- Quantum Science (2)
- Security (6)
- Simulation (3)
- Summit (1)
- Sustainable Energy (4)
- Transportation (3)
Media Contacts
Digital twins are exactly what they sound like: virtual models of physical reality that continuously update to reflect changes in the real world.
In fiscal year 2023 — Oct. 1–Sept. 30, 2023 — Oak Ridge National Laboratory was awarded more than $8 million in technology maturation funding through the Department of Energy’s Technology Commercialization Fund, or TCF.
How an Alvin M. Weinberg Fellow is increasing security for critical infrastructure components
It’s a simple premise: To truly improve the health, safety, and security of human beings, you must first understand where those individuals are.
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.
Tackling the climate crisis and achieving an equitable clean energy future are among the biggest challenges of our time.
ORNL scientists had a problem mapping the genomes of bacteria to better understand the origins of their physical traits and improve their function for bioenergy production.
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.
Four first-of-a-kind 3D-printed fuel assembly brackets, produced at the Department of Energy’s Manufacturing Demonstration Facility at Oak Ridge National Laboratory, have been installed and are now under routine operating