Stochastic Memristor Modeling Framework Based on Physics-Informed Neural Networks

In this paper, we present a framework of modeling memristor noise for circuit simulators using physics-informed neural networks (PINNs). The variability of the memristor that is directly related to the neuromorphic system can be handled with this approach. The memristor noise model is transformed in...

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Bibliographic Details

Published in:	Applied Sciences
Main Authors:	Kyeongmin Kim, Jonghwan Lee
Format:	Article
Language:	English
Published:	MDPI AG 2024-10-01
Subjects:	memristor noise stochastic Fokker–Planck equation (FPE) physics-informed neural network (PINN) Verilog-A
Online Access:	https://www.mdpi.com/2076-3417/14/20/9484