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CMOS analog implementation of cellular neural network to solve partial differential equations with a microelectromechanical thermal interface

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2 Author(s)
A. Rasmussen ; Dept. of Electr. Eng. & Comput. Sci., George Washington Univ., Washington, DC, USA ; M. E. Zaghloul

A cellular neural network for solving a class of partial differential equations is presented. Each neural cell consists of a novel floating variable linear resistor, an amplifier, and a passive capacitor. The output of each cell is integrated with a microelectromechanical (MEMS) heater device that will be used for a thermal interface. The CMOS VLSI implementation of a nine cell network was designed and simulated. The results of this network are compared to the numerical solution of the partial differential equations.

Published in:

Circuits and Systems, 1997. Proceedings of the 40th Midwest Symposium on  (Volume:2 )

Date of Conference:

3-6 Aug. 1997