Journal
NEUROCOMPUTING
Volume 557, Issue -, Pages -Publisher
ELSEVIER
DOI: 10.1016/j.neucom.2023.126710
Keywords
Neuromorphic device; Colloid; Memory devices; Artificial synapse; Liquid computing; Liquid robotics
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The colloids under electrical stimuli can be reconfigured for information storage and computation. The relationship between critical resistance and stimulation time was reconstructed, and it was found that the critical voltage required to drop resistance decreases with increasing stimulation time. The dispersion of conductive ZnO nanoparticles in the DMSO polymeric matrix was characterized using FESEM and UV-visible absorption spectrum.
Colloids subjected to electrical stimuli exhibit a reconfiguration that might be used to store information and potentially compute. In a colloidal suspension of ZnO nanoparticles in DMSO, we investigated the learning, memorization, time and stimulation's voltage dependence of conductive network formation. The relationships between the critical resistance and stimulation time have been reconstructed. The critical voltage (i.e., the stimulation voltage required to drop the resistance) was found to decrease as stimulation time increased. We characterized a dispersion of conductive ZnO nanoparticles in the DMSO polymeric matrix using FESEM and UV-visible absorption spectrum.
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