Filter News
Area of Research
- Advanced Manufacturing (2)
- Biology and Environment (12)
- Clean Energy (18)
- Computational Engineering (1)
- Computer Science (1)
- Energy Frontier Research Centers (1)
- Fusion and Fission (1)
- Isotopes (1)
- Materials (32)
- Materials for Computing (5)
- National Security (13)
- Neutron Science (11)
- Nuclear Science and Technology (1)
- Quantum information Science (1)
- Supercomputing (19)
News Type
News Topics
- (-) Biomedical (17)
- (-) Clean Water (2)
- (-) Cybersecurity (17)
- (-) Machine Learning (13)
- (-) Nanotechnology (26)
- (-) Polymers (12)
- 3-D Printing/Advanced Manufacturing (45)
- Advanced Reactors (11)
- Artificial Intelligence (34)
- Big Data (7)
- Bioenergy (23)
- Biology (22)
- Biotechnology (8)
- Buildings (15)
- Chemical Sciences (32)
- Climate Change (22)
- Composites (11)
- Computer Science (61)
- Coronavirus (17)
- Critical Materials (11)
- Decarbonization (20)
- Education (3)
- Element Discovery (1)
- Energy Storage (43)
- Environment (36)
- Exascale Computing (10)
- Fossil Energy (1)
- Frontier (15)
- Fusion (17)
- Grid (16)
- High-Performance Computing (30)
- Isotopes (18)
- ITER (2)
- Materials (60)
- Materials Science (53)
- Mercury (2)
- Microelectronics (1)
- Microscopy (16)
- Molten Salt (3)
- National Security (18)
- Net Zero (3)
- Neutron Science (51)
- Nuclear Energy (27)
- Partnerships (29)
- Physics (24)
- Quantum Computing (11)
- Quantum Science (28)
- Renewable Energy (1)
- Security (12)
- Simulation (9)
- Space Exploration (3)
- Statistics (1)
- Summit (21)
- Sustainable Energy (30)
- Transformational Challenge Reactor (4)
- Transportation (25)
Media Contacts
To better predict long-term flooding risk, scientists at the Department of Energy’s Oak Ridge National Laboratory developed a 3D modeling framework that captures the complex dynamics of water as it flows across the landscape. The framework seeks to provide valuable insights into which communities are most vulnerable as the climate changes, and was developed for a project that’s assessing climate risk and mitigation pathways for an urban area along the Southeast Texas coast.
Scientists at ORNL completed a study of how well vegetation survived extreme heat events in both urban and rural communities across the country in recent years. The analysis informs pathways for climate mitigation, including ways to reduce the effect of urban heat islands.
Two different teams that included Oak Ridge National Laboratory employees were honored Feb. 20 with Secretary’s Honor Achievement Awards from the Department of Energy. This is DOE's highest form of employee recognition.
Corning uses neutron scattering to study the stability of different types of glass. Recently, researchers for the company have found that understanding the stability of the rings of atoms in glass materials can help predict the performance of glass products.
Scientists at ORNL used their expertise in quantum biology, artificial intelligence and bioengineering to improve how CRISPR Cas9 genome editing tools work on organisms like microbes that can be modified to produce renewable fuels and chemicals.
As vehicles gain technological capabilities, car manufacturers are using an increasing number of computers and sensors to improve situational awareness and enhance the driving experience.
The Department of Energy’s Oak Ridge National Laboratory announced the establishment of the Center for AI Security Research, or CAISER, to address threats already present as governments and industries around the world adopt artificial intelligence and take advantage of the benefits it promises in data processing, operational efficiencies and decision-making.
The Department of Energy’s Office of Science has selected three ORNL research teams to receive funding through DOE’s new Biopreparedness Research Virtual Environment initiative.
A new nanoscience study led by a researcher at ORNL takes a big-picture look at how scientists study materials at the smallest scales.
A licensing agreement between the Department of Energy’s Oak Ridge National Laboratory and research partner ZEISS will enable industrial X-ray computed tomography, or CT, to perform rapid evaluations of 3D-printed components using ORNL’s machine