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A ferrofluid-based neural network: design of an analogue associative memory
New Journal of Physics
We analyse an associative memory based on a ferrofluid, consisting of a system of magnetic nano-particles suspended in a carrier fluid of variable viscosity subject to patterns of magnetic fields from an array of input and output magnetic pads. The association relies on forming patterns in the ferrofluid during a trainingdphase, in which the magnetic dipoles are free to move and rotate to minimize the total energy of the system. Once equilibrated in energy for a given input-output magneticdoi:10.1088/1367-2630/11/2/023003 fatcat:tkjye4jtgbflfpf24vy33u7hv4