Filter News
Area of Research
- (-) Materials (31)
- (-) National Security (14)
- Advanced Manufacturing (3)
- Biology and Environment (13)
- Clean Energy (31)
- Computational Engineering (1)
- Computer Science (2)
- Fuel Cycle Science and Technology (1)
- Fusion and Fission (11)
- Fusion Energy (1)
- Isotope Development and Production (1)
- Isotopes (3)
- Materials for Computing (4)
- Neutron Science (44)
- Nuclear Science and Technology (9)
- Quantum information Science (1)
- Supercomputing (47)
News Topics
- (-) Biomedical (3)
- (-) Computer Science (14)
- (-) Exascale Computing (1)
- (-) Frontier (2)
- (-) Grid (3)
- (-) Machine Learning (6)
- (-) Neutron Science (19)
- (-) Nuclear Energy (4)
- 3-D Printing/Advanced Manufacturing (14)
- Advanced Reactors (2)
- Artificial Intelligence (10)
- Bioenergy (9)
- Biology (5)
- Buildings (2)
- Chemical Sciences (20)
- Climate Change (5)
- Composites (3)
- Coronavirus (2)
- Critical Materials (8)
- Cybersecurity (11)
- Decarbonization (4)
- Energy Storage (19)
- Environment (8)
- Fusion (3)
- High-Performance Computing (3)
- Isotopes (5)
- ITER (1)
- Materials (38)
- Materials Science (35)
- Microscopy (12)
- Molten Salt (2)
- Nanotechnology (21)
- National Security (11)
- Net Zero (1)
- Partnerships (11)
- Physics (14)
- Polymers (6)
- Quantum Computing (1)
- Quantum Science (10)
- Renewable Energy (1)
- Security (5)
- Summit (1)
- Sustainable Energy (8)
- Transformational Challenge Reactor (1)
- Transportation (5)
Media Contacts
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.
In a finding that helps elucidate how molten salts in advanced nuclear reactors might behave, scientists have shown how electrons interacting with the ions of the molten salt can form three states with different properties. Understanding these states can help predict the impact of radiation on the performance of salt-fueled reactors.
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.
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.
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.
Like most scientists, Chengping Chai is not content with the surface of things: He wants to probe beyond to learn what’s really going on. But in his case, he is literally building a map of the world beneath, using seismic and acoustic data that reveal when and where the earth moves.
U2opia Technology, a consortium of technology and administrative executives with extensive experience in both industry and defense, has exclusively licensed two technologies from ORNL that offer a new method for advanced cybersecurity monitoring in real time.
A partnership of ORNL, the Tennessee Department of Economic and Community Development, the Community Reuse Organization of East Tennessee and TVA that aims to attract nuclear energy-related firms to Oak Ridge has been recognized with a state and local economic development award from the Federal Laboratory Consortium.
While studying how bio-inspired materials might inform the design of next-generation computers, scientists at ORNL achieved a first-of-its-kind result that could have big implications for both edge computing and human health.