Filter News
Area of Research
- (-) Materials (106)
- (-) National Security (17)
- (-) Supercomputing (36)
- Advanced Manufacturing (11)
- Biology and Environment (17)
- Clean Energy (59)
- Computational Engineering (1)
- Computer Science (8)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (2)
- Fusion and Fission (4)
- Fusion Energy (2)
- Isotope Development and Production (1)
- Isotopes (3)
- Materials Characterization (2)
- Materials for Computing (16)
- Materials Under Extremes (1)
- Neutron Science (26)
- Nuclear Science and Technology (2)
- Quantum information Science (2)
- Transportation Systems (1)
News Type
News Topics
- (-) Artificial Intelligence (22)
- (-) Composites (7)
- (-) Cybersecurity (15)
- (-) Materials (59)
- (-) Materials Science (58)
- 3-D Printing/Advanced Manufacturing (22)
- Advanced Reactors (5)
- Big Data (7)
- Bioenergy (14)
- Biology (9)
- Biomedical (14)
- Biotechnology (1)
- Buildings (5)
- Chemical Sciences (25)
- Clean Water (1)
- Climate Change (9)
- Computer Science (55)
- Coronavirus (11)
- Critical Materials (15)
- Decarbonization (7)
- Energy Storage (30)
- Environment (17)
- Exascale Computing (11)
- Frontier (15)
- Fusion (6)
- Grid (9)
- High-Performance Computing (21)
- Irradiation (1)
- Isotopes (7)
- ITER (1)
- Machine Learning (10)
- Microscopy (21)
- Molten Salt (3)
- Nanotechnology (31)
- National Security (11)
- Net Zero (1)
- Neutron Science (28)
- Nuclear Energy (12)
- Partnerships (12)
- Physics (19)
- Polymers (13)
- Quantum Computing (9)
- Quantum Science (22)
- Renewable Energy (1)
- Security (8)
- Simulation (5)
- Software (1)
- Space Exploration (3)
- Summit (21)
- Sustainable Energy (16)
- Transformational Challenge Reactor (1)
- Transportation (15)
Media Contacts
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.
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.
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.
Researchers used the world’s first exascale supercomputer to run one of the largest simulations of an alloy ever and achieve near-quantum accuracy.
Anne Campbell, a researcher at ORNL, recently won the Young Leaders Professional Development Award from the Minerals, Metals & Materials Society, or TMS, and has been chosen as the first recipient of the Young Leaders International Scholar Program award from TMS and the Korean Institute of Metals and Materials, or KIM.
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.