Analyzing the Capacitance and the Voltage Characteristics of Nickel and Graphene (Electrode) with Boron Based Spring Mass Model (Dielectric) by Varying the Electrode Length in MEMS

EasyChair Preprint 15750

Abstract

This aim is to improve the voltage characteristics and capacitance of graphene and nickel (electrode) using a boron-based spring mass model (dielectric) by manipulating the electrode length in MEMS Two sets of 23 samples each, representing Nickel(Ni) and Graphene, are used in this work. Using Clincalc.com, sample size calculations were performed with an alpha value of 0.05 and a power of 80% with G power. The simulation specifically looked at the Mean capacitance by gradually changing the Nickel and Graphene electrode lengths in order to get the Mean capacitance.When comparing nickel and Graphene, the maximum mean capacitance was 9.56*10^-12 F for Nickel and 8.71*10^-12 F for Graphene, respectively, for the identical electrode length of 600 nm. With a p-value of 0.11 (p < 0.05), an independent T-test statistical analysis revealed a significant variance in Nickel properties. The overall accuracy in These research findings demonstrate that Nickel performs significantly better than Graphene.

Keyphrases: Boron-based Spring-mass model, Voltage Characteristics, capacitance

@booklet{EasyChair:15750,
  author    = {Deva Sree and S. Narendran},
  title     = {Analyzing the Capacitance and the Voltage Characteristics of Nickel and Graphene (Electrode) with Boron Based Spring Mass Model (Dielectric) by Varying the Electrode Length in MEMS},
  howpublished = {EasyChair Preprint 15750},
  year      = {EasyChair, 2025}}