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

Author

Rasmussen, Angela ; Zaghloul, M.E.

Author_Institution

Dept. of Electr. Eng. & Comput. Sci., George Washington Univ., Washington, DC, USA

Volume

2

fYear

1997

fDate

3-6 Aug. 1997

Firstpage

1326

Abstract

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.

Keywords

CMOS analogue integrated circuits; VLSI; cellular neural nets; micromechanical devices; neural chips; partial differential equations; CMOS analog implementation; MEMS heater device; VLSI implementation; cellular neural network; floating variable linear resistor; microelectromechanical thermal interface; partial differential equations; Capacitors; Cellular neural networks; Circuits; Differential amplifiers; Mirrors; Partial differential equations; Power amplifiers; Power supplies; Resistors; Very large scale integration;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1997. Proceedings of the 40th Midwest Symposium on

Print_ISBN

0-7803-3694-1

Type

conf

DOI

10.1109/MWSCAS.1997.662326

Filename

662326