Research related to Artificial Neural Networks (ANN) enhanced the realization of efficient hardware structures able to perform new and highly complex tasks. The hardware realization of ANN requires massive resources, leading to space requirements, computational time, and power consumption challenges. In parallel to this, the scaling process dictated by Moore's law has started to show future limitations related to the same technological aspects. Therefore, researchers began to study and develop new ways of realizing digital electronics. Among the proposed alternatives, molecular Field-Coupled Nanocomputing (FCN) is one of the most promising "Beyond CMOS" technologies. The two main characteristics of this paradigm are the possibility of implementing devices in highly dense functional arrays and the reduced power dissipation.