The Nuclear Data Program at Lawrence Berkeley National Laboratory (LBNL) and the University of California Berkeley (UCB) is rooted in a tradition of groundbreaking research, tracing its origins to the pioneering discoveries of isotopes by Glenn T. Seaborg and his team. This includes technetium-99m, which remains sought after in modern nuclear medicine with millions of diagnostic procedures performed annually worldwide. During the first 50 years, the nuclear data efforts were primarily focused on decay and neutron capture data, forming a cornerstone of nuclear science.
Over the last decade, the program has diversified and expanded into actively addressing nuclear data needs for applied areas such as plasma nuclear science, isotope production for space and medical applications, and nuclear energy innovations from fusion to advanced fission systems as well as the fundamental nuclear and astrophysical sciences. Recent highlights include results on isomer populations using laser driven electron beams [1] and providing new and improved nuclear data critical for molten salt chloride reactors, key to next-generation nuclear energy systems [2].
Today, the program’s activities are broader than ever, addressing pressing needs in nonproliferation, national security, and nuclear science applications. For instance, LBNL and UCB researchers are advancing data collection in the nuclear quasicontinuum and refining models to support nuclear-plasma interactions and energy production.
Looking forward, the Nuclear Data Program aims to continue its efforts aligned with the national plan to meet nuclear data needs across basic sciences and applications. This includes a commitment to train the next generation of scientists and engineers, ensuring sustained innovation and expertise. By integrating cutting-edge methodologies with domestic and global collaborations, the program is poised to maintain its leadership in shaping the future of nuclear data efforts.
For more information, visit LBNL’s Nuclear Data and UCB’s Nuclear Data Program .
