Investigation of electrochemical and material properties of TiO2 nanostructures generated by pulsed laser ablation
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The most challenging feature of the supercapacitor is low energy density. The supercapacitor's low energy density can be improved by proposing new materials for electrodes, electrolytes, etc. This thesis presents a new method for fabricating electrodes in a supercapacitor structure. In this method, we use pulsed laser ablation with the theory of increasing the surface area of electrodes. Although this method can be applied in different materials, we use titanium as a low-cost and lightweight material in our experiments. We use electrochemical and physical properties to investigate the effectivity of this method in different ways. In the first phase, we analyzed the electrochemical and physical properties of TiO2 electrodes by changing one laser parameter. In the second phase, we propose inverse engineering to calculate input parameters to fabricate specific supercapacitors based on machine learning techniques. In the second phase, we compare the result for three different machine learning algorithms then pick one for the inverse engineering structure.