Reservoir Computing with Colloidal Mixtures of ZnO and Proteinoids
CoRR(2023)
摘要
Liquid computers use incompressible fluids for computational processes. Here
we present experimental laboratory prototypes of liquid computers using
colloids composed of zinc oxide (ZnO) nanoparticles and microspheres containing
thermal proteins (proteinoids). The choice of proteinoids is based on their
distinctive neuron-like electrical behaviour and their similarity to
protocells. In addition, ZnO nanoparticles are chosen for their non-trivial
electrical properties. Our research demonstrates the successful extraction of
2-, 4- and 8-bit logic functions in ZnO proteinoid colloids. Our analysis shows
that each material has a distinct set of logic functions, and that the
complexity of the expressions is directly related to each material present in a
mixture. These findings provide a basis for the development of future hybris
liquid devices capable of general purpose computing.
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