Maktuba Mohid, J. Miller, Simon Harding, G. Tufte, O. R. Lykkebø, M. K. Massey, M. Petty
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Evolution-in-materio: A frequency classifier using materials
Evolution-in-materio (EIM) is a method that uses artificial evolution to exploit properties of materials to solve computational problems without requiring a detailed understanding of such properties. In this paper, we describe experiments using a purpose-built EIM platform called Mecobo to classify whether an applied square wave signal is above or below a user-defined threshold. This is the first demonstration that electrical configurations of materials (carbon nanotubes and a polymer) can be evolved to act as frequency classifiers.
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