Carbon nanotube-based programmable devices for adaptive architectures

Author

Agnus, G. ; Filoramo, A. ; Bourgoin, J.-P. ; Derycke, V. ; Zhao, W.

Author_Institution

Lab. d´´Electron. Moleculaire, CEA, Gif-sur-Yvette, France

fYear

2010

fDate

May 30 2010-June 2 2010

Firstpage

1667

Lastpage

1670

Abstract

We show that optic ally-gated carbon nanotube field effect transistors can be used as 2-terminal like devices with light sensitivity and memory capabilities. In particular, their channel resistivity can be adjusted precisely, within a large range and memorized. These devices can thus be used as synapses in neural network type of circuits. We demonstrate experimentally these properties, build a device model and propose a circuit architecture, which allows very efficient parallel learning.

Keywords

carbon nanotubes; field effect transistors; neural nets; optical materials; adaptive architectures; channel resistivity; circuit architecture; field effect transistors; light sensitivity; memory capabilities; neural network; optically-gated carbon nanotube; parallel learning; programmable devices; Biomedical optical imaging; Carbon nanotubes; Circuits; Conductivity; Electrodes; Electron traps; FETs; Nanoscale devices; Optical sensors; Polymer films;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems (ISCAS), Proceedings of 2010 IEEE International Symposium on

Conference_Location

Paris

Print_ISBN

978-1-4244-5308-5

Electronic_ISBN

978-1-4244-5309-2

Type

conf

DOI

10.1109/ISCAS.2010.5537490

Filename

5537490