Predicting conductivity of polymer nano-composites
Project description:
When designing polymer nano-composites for electrical applications, the capacity to predict the electrical conductivity of the material as function of filler fraction is crucial. Finite element analysis (FEM) and electrical network models can be used to estimate the composite conductivity assuming that the properties of the components are known in advance. Atomistic simulations can be used to predict properties of bulk materials and interfaces. The aim of this project is to develop multi-scale methods for predicting composite conductivity and other relevant properties for field-grading polymer nano-composites intended for high voltage applications.
