Filter News
Area of Research
- Advanced Manufacturing (6)
- Biology and Environment (22)
- Clean Energy (47)
- Computational Biology (1)
- Computational Engineering (3)
- Computer Science (4)
- Fusion and Fission (2)
- Isotopes (3)
- Materials (67)
- Materials Characterization (2)
- Materials for Computing (11)
- Materials Under Extremes (1)
- Mathematics (1)
- National Security (14)
- Neutron Science (18)
- Nuclear Science and Technology (2)
- Quantum information Science (2)
- Supercomputing (29)
News Type
News Topics
- (-) Biomedical (28)
- (-) Clean Water (15)
- (-) Cybersecurity (20)
- (-) Machine Learning (24)
- (-) Materials (92)
- (-) Microscopy (27)
- 3-D Printing/Advanced Manufacturing (74)
- Advanced Reactors (23)
- Artificial Intelligence (44)
- Big Data (24)
- Bioenergy (39)
- Biology (39)
- Biotechnology (10)
- Buildings (32)
- Chemical Sciences (39)
- Climate Change (45)
- Composites (19)
- Computer Science (98)
- Coronavirus (28)
- Critical Materials (23)
- Decarbonization (28)
- Education (3)
- Element Discovery (1)
- Energy Storage (73)
- Environment (79)
- Exascale Computing (10)
- Fossil Energy (2)
- Frontier (16)
- Fusion (23)
- Grid (36)
- High-Performance Computing (39)
- Hydropower (6)
- Irradiation (2)
- Isotopes (23)
- ITER (5)
- Materials Science (84)
- Mathematics (2)
- Mercury (5)
- Microelectronics (1)
- Molten Salt (7)
- Nanotechnology (38)
- National Security (21)
- Net Zero (5)
- Neutron Science (76)
- Nuclear Energy (45)
- Partnerships (30)
- Physics (28)
- Polymers (21)
- Quantum Computing (13)
- Quantum Science (36)
- Renewable Energy (1)
- Security (12)
- Simulation (15)
- Space Exploration (13)
- Statistics (2)
- Summit (27)
- Sustainable Energy (75)
- Transformational Challenge Reactor (4)
- Transportation (60)
Media Contacts
Ateios Systems licensed an ORNL technology for solvent-free battery component production using electron curing. Through Innovation Crossroads, Ateios continues to work with ORNL to enable readiness for production-quality battery components.
Four researchers at the Department of Energy’s Oak Ridge National Laboratory have been named ORNL Corporate Fellows in recognition of significant career accomplishments and continued leadership in their scientific fields.
Four scientists affiliated with ORNL were named Battelle Distinguished Inventors during the lab’s annual Innovation Awards on Dec. 1 in recognition of being granted 14 or more United States patents.
Guided by machine learning, chemists at ORNL designed a record-setting carbonaceous supercapacitor material that stores four times more energy than the best commercial material.
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.
Using neutrons to see the additive manufacturing process at the atomic level, scientists have shown that they can measure strain in a material as it evolves and track how atoms move in response to stress.
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.