Self-assembled networks with neural computing attributes

Authors

Supriyo Bandyopadhyay, Virginia Commonwealth UniversityFollow
L. Menon, University of Nebraska - Lincoln
N. Kouklin, Virginia Commonwealth University, Richmond, VA
P. F. Williams, University of Nebraska - LincolnFollow
Natale J. Ianno, University of Nebraska - LincolnFollow

Date of this Version

9-20-2002

Comments

Published in Smart Materials and Structures 11 (2002), pp. 761–766. Copyright © 2002 IOP Publishing Ltd. Used by permission. http://stacks.iop.org/SMS/11/761

Abstract

Two-dimensional arrays of vertical quantum wire Esaki tunnel diodes, laterally connected to their nearest neighbors by resistive/capacitive connections, constitute a powerful and versatile neuromorphic architecture that can function as classical Boolean logic circuits, associative memory, image processors, and combinatorial optimizers. In this paper, we discuss the basic philosophy behind adopting this architecture for nanoelectronic circuits and report on our experimental progress towards synthesizing this system.