Abstract: We present a neural network (NN)-based transistor modeling framework, which includes drain, source, and gate currents and charges and their variabilities. The training data are generated by ...
Abstract: This article introduces a novel method for simulating nonlinear circuits in the time domain. The approach leverages the numerical inversion of the Laplace transform (NILT) to create a ...
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