Filter News
Area of Research
- Advanced Manufacturing (18)
- Biology and Environment (44)
- Building Technologies (1)
- Clean Energy (136)
- Climate and Environmental Systems (4)
- Computational Engineering (2)
- Computer Science (8)
- Electricity and Smart Grid (1)
- Fusion and Fission (6)
- Fusion Energy (7)
- Isotopes (2)
- Materials (52)
- Materials for Computing (11)
- Mathematics (1)
- National Security (17)
- Neutron Science (15)
- Nuclear Science and Technology (7)
- Nuclear Systems Modeling, Simulation and Validation (1)
- Quantum information Science (1)
- Sensors and Controls (2)
- Supercomputing (34)
- Transportation Systems (2)
News Type
News Topics
- (-) 3-D Printing/Advanced Manufacturing (73)
- (-) Advanced Reactors (23)
- (-) Artificial Intelligence (40)
- (-) Clean Water (14)
- (-) Environment (78)
- (-) Grid (35)
- (-) Microscopy (27)
- (-) Security (12)
- (-) Transportation (60)
- Big Data (22)
- Bioenergy (39)
- Biology (39)
- Biomedical (28)
- Biotechnology (10)
- Buildings (29)
- Chemical Sciences (34)
- Climate Change (41)
- Composites (18)
- Computer Science (95)
- Coronavirus (28)
- Critical Materials (21)
- Cybersecurity (20)
- Decarbonization (24)
- Education (3)
- Element Discovery (1)
- Energy Storage (70)
- Exascale Computing (10)
- Fossil Energy (1)
- Frontier (15)
- Fusion (23)
- High-Performance Computing (36)
- Hydropower (6)
- Irradiation (2)
- Isotopes (21)
- ITER (5)
- Machine Learning (22)
- Materials (92)
- Materials Science (81)
- Mathematics (1)
- Mercury (5)
- Molten Salt (7)
- Nanotechnology (38)
- National Security (19)
- Net Zero (4)
- Neutron Science (76)
- Nuclear Energy (43)
- Partnerships (26)
- Physics (28)
- Polymers (20)
- Quantum Computing (13)
- Quantum Science (37)
- Renewable Energy (1)
- Simulation (14)
- Space Exploration (13)
- Statistics (2)
- Summit (26)
- Sustainable Energy (74)
- Transformational Challenge Reactor (4)
Media Contacts
ORNL is home to the world's fastest exascale supercomputer, Frontier, which was built in part to facilitate energy-efficient and scalable AI-based algorithms and simulations.
Used lithium-ion batteries from cell phones, laptops and a growing number of electric vehicles are piling up, but options for recycling them remain limited mostly to burning or chemically dissolving shredded batteries.
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
Researchers at ORNL have been leading a project to understand how a high-altitude electromagnetic pulse, or EMP, could threaten power plants.
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.
ORNL researchers determined that a connected and automated vehicle, or CAV, traveling on a multilane highway with integrated traffic light timing control can maximize energy efficiency and achieve up to 27% savings.
Currently, the biggest hurdle for electric vehicles, or EVs, is the development of advanced battery technology to extend driving range, safety and reliability.
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.
An Oak Ridge National Laboratory-developed advanced manufacturing technology, AMCM, was recently licensed by Orbital Composites and enables the rapid production of composite-based components, which could accelerate the decarbonization of vehicles
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.