4.6 Article

Learning in colloids: Synapse-like ZnO plus DMSO colloid

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

Ask authors/readers for more resources

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.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available