Research Outline
My research connects the decommissioning of Fukushima Daiichi with the safety of next-generation reactors through materials science. By analyzing fuel debris retrieved from Fukushima Daiichi, I integrate materials modeling and Bayesian inference to reconstruct in-vessel conditions during the accident, including temperature, atmosphere, and reaction history. In parallel, I examine the high-temperature reactions and partitioning behavior of neutron-absorbing materials under fuel-melting conditions, thereby reducing uncertainties in recriticality assessment. Through the integration of experiment and computation, this work deepens understanding of severe accident phenomena and strengthens the scientific basis for both Fukushima Daiichi decommissioning and the advancement of safer nuclear systems.
Schematic overview of research that reconstructs accident in-vessel conditions from Fukushima Daiichi fuel debris analyses and extends the resulting knowledge to severe accident digital twins and future nuclear safety assessment.