Quantifying Multidimensional Transport Effects on Permeability Inference in FLiBe Systems Using a Validation-Informed Modeling Framework
Huihua Yang, Abhishek Saraswat, Weiyue Zhou, Kevin Woller, James Dark, Chirag Khurana, Kaelyn Dunnell, Ethan Peterson, Remi Delaporte-Mathurin

TL;DR
This study develops a multi-dimensional modeling framework to accurately interpret hydrogen isotope permeability in molten salts, revealing the limitations of traditional one-dimensional approaches.
Contribution
It introduces a validation-informed inverse modeling framework that accounts for complex transport pathways and boundary conditions in permeability inference.
Findings
Model captures permeation fluxes across temperature range 773-973K.
Permeability estimates vary significantly with boundary condition assumptions.
Lateral transport and leakage pathways are significant and not captured by 1D models.
Abstract
Permeability of hydrogen isotopes in molten salts is commonly inferred from permeation experiments using simplified one-dimensional interpretations, which may not capture the coupled transport pathways present in realistic systems. In this work, a multi-dimensional, multi-material hydrogen isotope transport modeling framework implemented in FESTIM is benchmarked against permeation measurements from the HYPERION experiment conducted at the MIT Plasma Science and Fusion Center.The model explicitly resolves transport across molten salt and nickel structures, as well as external boundary conditions, enabling system-level interpretation of the measured permeation fluxes over the temperature range 773-973K. Rather than relying on idealized one-dimensional formulations for permeability estimation, this study employs a validation-informed inverse framework to assess how multidomain transport…
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