Comparison and evaluation of signal representations for a carbon nanotube computational device

Author

Lykkebo, Odd Rune ; Tufte, Gunnar

Author_Institution

Dept. of Comput. & Inf. Sci., Norwegian Univ. of Sci. & Technol., Trondheim, Norway

fYear

2014

fDate

9-12 Dec. 2014

Firstpage

54

Lastpage

60

Abstract

Evolution in Materio (EIM) exploits properties of physical systems for computation. Evolution manipulates physical processes by stimulating materials by applying some sort of configuration signal. For materials such as liquid crystal and carbon nanotubes the properties of configuration data is rather open. In this work we investigate what kind of configuration data that most likely will be favourable for a carbon nanotube based device. An experimental approach targeting graph colouring is used to test three different types of signal representation: static voltages, square waves and a mixed signal representation. The results show that all signal representation was capable of producing a working device. In the experiments square wave representation produced the best result.

Keywords

carbon nanotubes; graph colouring; liquid crystal devices; mixed analogue-digital integrated circuits; C; EIM; carbon nanotube computational device; configuration data; configuration signal; evolution in materio; graph colouring; liquid crystal; material stimulation; mixed signal representation; physical computation systems; physical process; signal representations; square wave representation; static voltages; Bioinformatics; Genomics;

fLanguage

English

Publisher

ieee

Conference_Titel

Evolvable Systems (ICES), 2014 IEEE International Conference on

Conference_Location

Orlando, FL

Type

conf

DOI

10.1109/ICES.2014.7008722

Filename

7008722