This project models the DC and transient behavior of a CMOS inverter using neural networks and LSTM. It predicts Vout based on parameters like Vdd, Vin, Vtn, W/L ratios, and simulates transient response under capacitive loads. Key operations include: DC Analysis,Transient Analysis, Dataset Generation, Critical Voltage Calculation and Visualization.

A project exploring the characteristics of MOSFETs using circuit simulation in NGSPICE. The code simulates various transistor behaviors and models, providing insight into MOSFET switching and amplification properties.

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MOSFET Insight: AI-driven Predictive Analytics for VLSI Design

Technology: BSIM3 180nm | Tool: LTspice , Matlab • Design requirements: Closed loop error should be less than 1 and no peaking | 3DB Bandwidth(min)=25MHz • Gained insight on Gm/Id methodology to characterize the mosfets and also ploted required graphs in Matlab.