Filter News
Area of Research
- Advanced Manufacturing (1)
- Biology and Environment (13)
- Clean Energy (45)
- Computational Engineering (1)
- Computer Science (3)
- Fusion and Fission (10)
- Fusion Energy (2)
- Isotope Development and Production (1)
- Isotopes (7)
- Materials (44)
- Materials for Computing (5)
- National Security (15)
- Neutron Science (23)
- Nuclear Science and Technology (6)
- Quantum information Science (1)
- Supercomputing (39)
News Type
News Topics
- (-) Biomedical (17)
- (-) Clean Water (1)
- (-) Computer Science (57)
- (-) Cybersecurity (17)
- (-) Energy Storage (41)
- (-) Fusion (14)
- (-) Isotopes (18)
- (-) Physics (24)
- (-) Space Exploration (3)
- (-) Transportation (25)
- 3-D Printing/Advanced Manufacturing (43)
- Advanced Reactors (10)
- Artificial Intelligence (29)
- Big Data (7)
- Bioenergy (23)
- Biology (21)
- Biotechnology (7)
- Buildings (12)
- Chemical Sciences (28)
- Climate Change (21)
- Composites (9)
- Coronavirus (17)
- Critical Materials (11)
- Decarbonization (18)
- Education (3)
- Element Discovery (1)
- Environment (34)
- Exascale Computing (9)
- Fossil Energy (1)
- Frontier (14)
- Grid (15)
- High-Performance Computing (26)
- ITER (2)
- Machine Learning (13)
- Materials (57)
- Materials Science (49)
- Mercury (2)
- Microelectronics (1)
- Microscopy (16)
- Molten Salt (2)
- Nanotechnology (26)
- National Security (18)
- Net Zero (3)
- Neutron Science (49)
- Nuclear Energy (26)
- Partnerships (27)
- Polymers (12)
- Quantum Computing (9)
- Quantum Science (26)
- Renewable Energy (1)
- Security (11)
- Simulation (8)
- Statistics (1)
- Summit (20)
- Sustainable Energy (30)
- Transformational Challenge Reactor (4)
Media Contacts
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.
As current courses through a battery, its materials erode over time. Mechanical influences such as stress and strain affect this trajectory, although their impacts on battery efficacy and longevity are not fully understood.
ORNL has been selected to lead an Energy Earthshot Research Center, or EERC, focused on developing chemical processes that use sustainable methods instead of burning fossil fuels to radically reduce industrial greenhouse gas emissions to stem climate change and limit the crisis of a rapidly warming planet.
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.
Technologies developed by researchers at ORNL have received six 2023 R&D 100 Awards.
Timothy Gray of ORNL led a study that may have revealed an unexpected change in the shape of an atomic nucleus. The surprise finding could affect our understanding of what holds nuclei together, how protons and neutrons interact and how elements form.
Seven entrepreneurs will embark on a two-year fellowship as the seventh cohort of Innovation Crossroads kicks off this month at ORNL. Representing a range of transformative energy technologies, Cohort 7 is a diverse class of innovators with promising new companies.
Scientist-inventors from ORNL will present seven new technologies during the Technology Innovation Showcase on Friday, July 14, from 8 a.m.–4 p.m. at the Joint Institute for Computational Sciences on ORNL’s campus.
Working with Western Michigan University and other partners, ORNL engineers are placing low-powered sensors in the reflective raised pavement markers that are already used to help drivers identify lanes. Microchips inside the markers transmit information to passing cars about the road shape to help autonomous driving features function even when vehicle cameras or remote laser sensing, called LiDAR, are unreliable because of fog, snow, glare or other obstructions.