Response surface optimization and finite element homogenization study of the effective elastic modulus and electrical conductivity of <scp>MXene?polypyrrole</scp> hybrid nanocomposite as electrode material for electronic energy storage devices

Electrical energy storage devices are crucial for and distribution purposes. MXene (MX), a 2D material, conductive organic polymers, such as polypyrrole (PPy), have been widely used electrode material in electronic devices. This work calculated the elastic modulus electrical conductivity of MX/PPy nanocomposite using finite element model. Response Surface Methodology (RSM) was to optimize response variables based on (FE) simulation findings. By assigning appropriate weights these factors optimization technique, impacts mass fraction aspect ratio (AR) MX inclusion values were analyzed. When compared experimental findings, results demonstrated that suggested model could provide satisfactory estimate electrodes made PPy. However, might be optimized by surface approach. Therefore, when RSM employed, both Youngs adjusted close their respective maximum optimal values, with predicted 474.33 S/m an 3.24 GPa, at 50% AR 0.2. Based results, if built achieve this conductivity, would viable metal-ion batteries.