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In collaboration with the University of Tennessee and GE Vernova Hitachi, researchers at ORNL recently published innovative research on a new risk-informed digital twin designed to enhance operational decision-making for the GE Vernova Hitachi BWRX-300 SMR design.
ORNL researchers enhanced atomic force microscopy with machine learning to write and erase nanoscale patterns in ferroic materials. This innovation promises multistate memory capabilities and advances electronic data storage.
X-ray imaging is useful for seeing inside objects without causing damage, but until now it was not practical for use underwater. ORNL researchers have developed the first X-ray imaging system that clearly reveals the interior of suspicious objects or infrastructure underwater.
A study led by ORNL answers a decades-old question in nuclear science: Do tiny pores in graphite affect nuclear reactor performance? The answer is clear: Graphite’s natural porosity does not affect its performance as a moderator of nuclear reactions. The lab's research confirms that the tiny cracks and voids in graphite do not disturb the atomic vibrations that determine its interactions with neutrons.
A research team led by Oak Ridge National Laboratory has developed a new method to uncover the atomic origins of unusual material behavior. This approach uses Bayesian deep learning, a form of artificial intelligence that combines probability theory and neural networks to analyze complex datasets with exceptional efficiency.
A new patent granted to ORNL researchers redefines how nuclear systems are validated, offering a faster path to next-generation nuclear energy. By using machine learning to identify high-value experiments, this approach can eliminate redundancies and define clear boundaries for AI and digital twin models.
Nuclear energy is a leading option to power space exploration, but its success depends on reactors that can operate autonomously. To help make that vision a reality, ORNL has built a non-nuclear test bed that mimics the conditions of a space nuclear reactor to overcome the high cost and strict regulations required for testing in a reactor environment.
The U.S. Air Force awarded startup SkyNano, led by Innovation Crossroads alumna Anna Douglas, a $1.25 million contract to advance its CO2-to-carbon nanotube technology as part of a project to develop low-cost, battery-grade graphite.
A key milestone in the pursuit of fusion energy is achieving a high “triple product,” an important metric of the temperature and density of a burning plasma and how well it is confined. The Wendelstein 7-X stellarator in Germany recently sustained a plasma with a record high triple product for 43 seconds – far surpassing previous performance – in part due to a novel fuel pellet injection system developed by researchers at ORNL.
Scientists at Oak Ridge National Laboratory have advanced the use of DuAlumin-3D, an innovative aluminum alloy, in high-temperature automotive components, significantly expanding the possibilities of additive manufacturing.