Learning in colloids: Synapse-like ZnO + DMSO colloid

Kheirabadi, Noushin Raeisi; Chiolerio, Alessandro; Phillips, Neil; Adamatzky, Andrew

Abstract

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.

Citation

Kheirabadi, N. R., Chiolerio, A., Phillips, N., & Adamatzky, A. (2023). Learning in colloids: Synapse-like ZnO + DMSO colloid. Neurocomputing, 557, Article 126710. https://doi.org/10.1016/j.neucom.2023.126710

• Journal Article Type: Article
• Acceptance Date: Aug 15, 2023
• Online Publication Date: Aug 19, 2023
• Publication Date: Nov 7, 2023
• Deposit Date: Nov 8, 2023
• Publicly Available Date: Nov 9, 2023
• Journal: Neurocomputing
• Print ISSN: 0925-2312
• Electronic ISSN: 1872-8286
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 557
• Article Number: 126710
• DOI: https://doi.org/10.1016/j.neucom.2023.126710
• Public URL: https://uwe-repository.worktribe.com/output/11418351