Filter News
Area of Research
- (-) Materials (50)
- (-) Supercomputing (42)
- Advanced Manufacturing (2)
- Biology and Environment (34)
- Clean Energy (74)
- Climate and Environmental Systems (1)
- Computational Biology (1)
- Computational Engineering (3)
- Computer Science (5)
- Fusion and Fission (6)
- Fusion Energy (8)
- Isotopes (3)
- Materials for Computing (7)
- Mathematics (1)
- National Security (13)
- Neutron Science (65)
- Nuclear Science and Technology (12)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Transportation Systems (2)
News Type
News Topics
- (-) Advanced Reactors (3)
- (-) Artificial Intelligence (15)
- (-) Biomedical (13)
- (-) Climate Change (9)
- (-) Molten Salt (3)
- (-) Neutron Science (26)
- (-) Partnerships (8)
- (-) Summit (20)
- (-) Transportation (12)
- 3-D Printing/Advanced Manufacturing (21)
- Big Data (5)
- Bioenergy (13)
- Biology (8)
- Biotechnology (1)
- Buildings (4)
- Chemical Sciences (24)
- Clean Water (1)
- Composites (7)
- Computer Science (48)
- Coronavirus (10)
- Critical Materials (15)
- Cybersecurity (6)
- Decarbonization (6)
- Energy Storage (28)
- Environment (15)
- Exascale Computing (8)
- Frontier (13)
- Fusion (5)
- Grid (5)
- High-Performance Computing (16)
- Isotopes (7)
- ITER (1)
- Machine Learning (6)
- Materials (53)
- Materials Science (56)
- Microscopy (19)
- Nanotechnology (31)
- National Security (5)
- Net Zero (1)
- Nuclear Energy (7)
- Physics (19)
- Polymers (13)
- Quantum Computing (9)
- Quantum Science (21)
- Renewable Energy (1)
- Security (4)
- Simulation (2)
- Space Exploration (3)
- Sustainable Energy (13)
- Transformational Challenge Reactor (1)
Media Contacts
A collection of seven technologies for lithium recovery developed by scientists from ORNL has been licensed to Element3, a Texas-based company focused on extracting lithium from wastewater produced by oil and gas production.
Electric vehicles can drive longer distances if their lithium-ion batteries deliver more energy in a lighter package. A prime weight-loss candidate is the current collector, a component that often adds 10% to the weight of a battery cell without contributing energy.
Researchers from institutions including ORNL have created a new method for statistically analyzing climate models that projects future conditions with more fidelity.
ORNL has joined a global consortium of scientists from federal laboratories, research institutes, academia and industry to address the challenges of building large-scale artificial intelligence systems and advancing trustworthy and reliable AI for
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.
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.