In this paper, an optimize the electrical characteristics of the Double Gate-Metal Oxide Semiconductor Field Effect Transistor (DG-MOSFET) is endeavored by Cat Swarm Optimization (CSO) algorithm for its integration into CMOS logic. The Cat Swarm Optimization (CSO) algorithm is employed for optimization. It addresses the multi-objective optimization challenge, formulating a cost function that encompasses critical electrical parameters, including subthreshold swing, OFF-state current, output conductance, threshold voltage roll-off, and transconductance. The main object is to concurrently improve subthreshold and saturation parameters, elevating MOSFET performance. The proposed design demonstrates an enhancement in the performance of voltage gain and cut-off frequency compared to existing works, marking a notable improvement in the field.

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Optimal Design of Nano Scale Voltage Amplifier Using Evolutionary Techniques for DG-MOSFET

  • Dibyendu Chowdhury,
  • Madhusudan Maiti,
  • Suddhendu DasMahapatra,
  • Bishnu Prasad De,
  • Rajib Kar,
  • Durbadal Mandal

摘要

In this paper, an optimize the electrical characteristics of the Double Gate-Metal Oxide Semiconductor Field Effect Transistor (DG-MOSFET) is endeavored by Cat Swarm Optimization (CSO) algorithm for its integration into CMOS logic. The Cat Swarm Optimization (CSO) algorithm is employed for optimization. It addresses the multi-objective optimization challenge, formulating a cost function that encompasses critical electrical parameters, including subthreshold swing, OFF-state current, output conductance, threshold voltage roll-off, and transconductance. The main object is to concurrently improve subthreshold and saturation parameters, elevating MOSFET performance. The proposed design demonstrates an enhancement in the performance of voltage gain and cut-off frequency compared to existing works, marking a notable improvement in the field.