An Equivalent Circuit Model for Graphene-Based Terahertz Antenna Using the PEEC Method PROJECT TITLE :An Equivalent Circuit Model for Graphene-Based Terahertz Antenna Using the PEEC MethodABSTRACT:The electromagnetic (EM) characterization of graphene below general EM environments is becoming of interest in the engineering and scientific research fields. However, its numerical modeling process is very price prohibitive due to the huge distinction between its thickness and other dimensions. In this work, for the primary time, the EM options of graphene are characterised by a circuit model through the partial component equivalent circuit (PEEC) methodology. The atomically thick graphene is equivalently replaced by an impedance boundary condition. When incorporating the PEEC methodology, a unique surface conductivity circuit model is derived for graphene. A physical resistor and inductor are added into the standard PEEC cell thanks to the dispersive conductivity property of graphene. The proposed novel methodology significantly reduces the memory and CPU time consumption for general graphene structures compared with standard numerical finite part technique (FEM) or finite difference (FD) strategies, where 3-D meshing is unavoidable. This model conjointly transforms the surface conductivity of graphene into a vivid circuit, and physical properties of the fabric can be conveniently obtained, like radiation, scattering, and resistance properties, compared with technique of moments (MOM). Similarly, the radiation and scattering calculation by MOM entail the cumbersome steps of defining a bounding surface and implementing a multidimensional integrand, while in PEEC, these complications are entirely bypassed by the concise vector–matrix–vector product (VMVP) formulas. To validate the introduced algorithm, numerous numerical examples are presented and compared with existing references. Did you like this research project? To get this research project Guidelines, Training and Code... Click Here facebook twitter google+ linkedin stumble pinterest Optimal Sensor Deployment for Manufacturing Process Monitoring Based on Quantitative Cause-Effect Graph Scenario-Based Optimal Bidding Strategies of GENCOs in the Incomplete Information Electricity Market Using a New Improved Prey—Predator Optimization Algorithm