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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.
Circuits and Systems, 1997. Proceedings of the 40th Midwest Symposium on (Volume:2 )
Date of Conference: 3-6 Aug. 1997