Filter News
Area of Research
- (-) National Security (29)
- (-) Supercomputing (58)
- Advanced Manufacturing (7)
- Biology and Environment (101)
- Biology and Soft Matter (1)
- Clean Energy (99)
- Climate and Environmental Systems (5)
- Computational Biology (1)
- Computational Engineering (1)
- Computer Science (2)
- Electricity and Smart Grid (1)
- Energy Frontier Research Centers (1)
- Functional Materials for Energy (1)
- Fusion and Fission (26)
- Fusion Energy (13)
- Isotopes (24)
- Materials (132)
- Materials for Computing (18)
- Mathematics (1)
- Neutron Science (103)
- Nuclear Science and Technology (19)
- Quantum information Science (3)
News Topics
- (-) Cybersecurity (23)
- (-) Environment (25)
- (-) Fusion (2)
- (-) Isotopes (1)
- (-) Nanotechnology (11)
- (-) Neutron Science (15)
- (-) Physics (8)
- (-) Polymers (2)
- 3-D Printing/Advanced Manufacturing (7)
- Advanced Reactors (2)
- Artificial Intelligence (45)
- Big Data (22)
- Bioenergy (11)
- Biology (14)
- Biomedical (17)
- Biotechnology (3)
- Buildings (4)
- Chemical Sciences (5)
- Climate Change (20)
- Computer Science (104)
- Coronavirus (16)
- Critical Materials (3)
- Decarbonization (6)
- Energy Storage (9)
- Exascale Computing (22)
- Frontier (28)
- Grid (11)
- High-Performance Computing (40)
- Machine Learning (23)
- Materials (16)
- Materials Science (17)
- Mathematics (1)
- Microscopy (7)
- Molten Salt (1)
- National Security (35)
- Net Zero (1)
- Nuclear Energy (8)
- Partnerships (4)
- Quantum Computing (19)
- Quantum Science (25)
- Security (14)
- Simulation (14)
- Software (1)
- Space Exploration (3)
- Summit (42)
- Sustainable Energy (12)
- Transportation (8)
Media Contacts
Oak Ridge National Laboratory will give college students the chance to practice cybersecurity skills in a real-world setting as a host of the Department of Energy’s fifth collegiate CyberForce Competition on Nov. 16. The event brings together student teams from across the country to compete at 10 of DOE’s national laboratories.
Researchers at the Department of Energy’s Oak Ridge National Laboratory have received five 2019 R&D 100 Awards, increasing the lab’s total to 221 since the award’s inception in 1963.
Using the Titan supercomputer and the Spallation Neutron Source at the Department of Energy’s Oak Ridge National Laboratory, scientists have created the most accurate 3D model yet of an intrinsically disordered protein, revealing the ensemble of its atomic-level structures.
OAK RIDGE, Tenn., March 11, 2019—An international collaboration including scientists at the Department of Energy’s Oak Ridge National Laboratory solved a 50-year-old puzzle that explains why beta decays of atomic nuclei
OAK RIDGE, Tenn., Feb. 12, 2019—A team of researchers from the Department of Energy’s Oak Ridge and Los Alamos National Laboratories has partnered with EPB, a Chattanooga utility and telecommunications company, to demonstrate the effectiveness of metro-scale quantum key distribution (QKD).
A team of scientists led by Oak Ridge National Laboratory used machine learning methods to generate a high-resolution map of vegetation growing in the remote reaches of the Alaskan tundra.
Scientists at the Department of Energy’s Oak Ridge National Laboratory are the first to successfully simulate an atomic nucleus using a quantum computer. The results, published in Physical Review Letters, demonstrate the ability of quantum systems to compute nuclear ph...
Scientists at Oak Ridge National Laboratory have conducted a series of breakthrough experimental and computational studies that cast doubt on a 40-year-old theory describing how polymers in plastic materials behave during processing.
The field of “Big Data” has exploded in the blink of an eye, growing exponentially into almost every branch of science in just a few decades. Sectors such as energy, manufacturing, healthcare and many others depend on scalable data processing and analysis for continued in...
Virginia-based Lenvio Inc. has exclusively licensed a cyber security technology from the Department of Energy’s Oak Ridge National Laboratory that can quickly detect malicious behavior in software not previously identified as a threat.