LaGrande Gunnell
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View article: Uncertainty propagation and sensitivity analysis for constrained optimization of nuclear waste vitrification
Uncertainty propagation and sensitivity analysis for constrained optimization of nuclear waste vitrification Open
The vitrification of high‐level waste (HLW) by heating a mixture of glass‐forming chemicals (GFCs) with the waste can be improved using a constrained optimization problem. This study explores how different uncertainty propagation (UP) meth…
View article: Neutronic analysis of the BYU molten salt micro reactor
Neutronic analysis of the BYU molten salt micro reactor Open
Background: With the rising need for reliable and clean energy, researchers at Brigham Young University created a molten salt microreactor (MSMR) concept to help meet the world’s growing energy demands. The MSMR is rated at 45 MWth and is …
View article: Machine Learning with Gradient-Based Optimization of Nuclear Waste Vitrification with Uncertainties and Constraints
Machine Learning with Gradient-Based Optimization of Nuclear Waste Vitrification with Uncertainties and Constraints Open
Gekko is an optimization suite in Python that solves optimization problems involving mixed-integer, nonlinear, and differential equations. The purpose of this study is to integrate common Machine Learning (ML) algorithms such as Gaussian P…
View article: Mo Deposition and Dissolution in DES with the Use of Fluoride Salts
Mo Deposition and Dissolution in DES with the Use of Fluoride Salts Open
The dissolution and deposition behavior of molybdenum in a deep eutectic solvent was examined to assess the possibility of molybdenum electrorefining. When added to the ethaline, MoCl 5 exhibited electrochemically irreversible behavior and…