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Experiments conducted between 2002 and 2012 at ORNL studied 31 tin isotopes with varying numbers of neutrons to examine how neutrons affect nuclear stability and nuclear properties. The combined results contributed to identifying tin-132 as a doubly magic nucleus and improved theoretical models of nuclear structure.
Researchers at ORNL have developed a deep learning algorithm that analyzes drone, camera and sensor data to reveal unusual vehicle patterns that may indicate illicit activity, including the movement of nuclear materials.
Brian Anderson has led ORNL's Enrichment Science and Engineering Division since 2020, overseeing work in enrichment technologies and stable isotope production. The division supports national needs across security, research, medicine and industry while expanding its technical capabilities and workforce.