Tetraphenylethene Carbothioamide‐Based Organic Stimuli‐Responsive Mechanochromic Memristive Devices with Non‐Volatile Memory and Synaptic Learning Functionalities

Author:

Jagadhane Kishor S.1ORCID,Dongale Tukaram D.2,Nikam Ankita S.2,Tadavalekar Neha B.2,Kamat Rajanish K.34,Kolekar Govind B.5,Anbhule Prashant V.1ORCID

Affiliation:

1. Medicinal Chemistry Research Laboratory Department of Chemistry Shivaji University Kolhapur Maharashtra 416004 India

2. Computational Electronics and Nanoscience Research Laboratory School of Nanoscience and Biotechnology Shivaji University Kolhapur Maharashtra 416004 India

3. Department of Electronics Shivaji University Kolhapur Maharashtra 416004 India

4. Dr. Homi Bhabha State University 15, Madam Cama Road Mumbai Maharashtra 400032 India

5. Fluorescence Spectroscopy Research Laboratory Department of Chemistry Shivaji University Kolhapur Maharashtra 416004 India

Abstract

AbstractA tetraphenylethene‐based organic material (TC) was synthesized to demonstrate mechanochromic memristive properties. The synthesized material shows aggregation‐induced emission and mechanochromic properties. The solvent optimization study reveals that the ethyl acetate‐based TC switching layer shows good resistive switching (RS) properties. To get the mechanochromic memristive properties, different external stresses (ground, heat, and fume) were applied to the TC materials, and these materials were used for the fabrication of switching layers. The results asserted that ethyl acetate and grinding‐based TC devices show good digital‐type RS effects and non‐volatile memory properties. On the other hand, heating and fuming‐based TC devices show analog and quasi‐digital type RS effects, respectively, and mimic various biological synaptic properties such as potentiation‐depression, excitatory postsynaptic current, and paired‐pulse facilitation index. The present investigation is important to fabricate stimuli‐responsive memory and artificial synaptic devices for futuristic non‐volatile memory and neuromorphic computing applications.

Funder

Dr. Babasaheb Ambedkar Research and Training Institute

Publisher

Wiley

Subject

General Chemistry

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