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Comparative Studies Of Diffusion Models And Artificial Neural Intelligence On Electrochemical Process Of U And Zr Dissolutions In Licl-Kcl Eutectic Salts, Samaneh Rakhshan Pouri
Comparative Studies Of Diffusion Models And Artificial Neural Intelligence On Electrochemical Process Of U And Zr Dissolutions In Licl-Kcl Eutectic Salts, Samaneh Rakhshan Pouri
Theses and Dissertations
The electrorefiner (ER) is the heart of pyroprocessing technology operating at a high-temperature (723 K – 773 K) to separate uranium from Experimental Breeder Reactor-II (EBR-II) used metallic fuel. One of the most common electroanalytical methods for determining the thermodynamic and electrochemical behavior of elemental species in the eutectic molten salt LiCl-KCl inside ER is cyclic voltammetry (CV). Information from CV can possibly be used to estimate diffusion coefficients, apparent standard potentials, transfer coefficients, and numbers of electron transferred. Therefore, predicting the trace of each species from the CV method in an absence of experimental data is important for safeguarding …