Design and Synthesis of Semi-Conducting Covalent Organic Polymers/Frameworks via Novel C-C Bond Chemistry for Organic Memristor Application

Abstract

The field of neuromorphic chip computing has received relatively little attention and is expanding very slowly since their construction traditionally involves the use of inorganic materials, which are limited and have negative environmental effects. Herein, we present two novel olefin-based, carbonyl rich, and semi-crystalline 2D-COFs, fabricated through scalable and green mechanochemistry. The rationally synthesized Tp-Dbp-COF showed excellent conductivity values of 5.485E-01  3.995E-01 S/m, whereas Tp-Db-COF exhibited good conductivity values of 6.075E-09 ± 0.245E-09 S/m. The ingenious structural features like structural tunability, physical and chemical stability, etc. that contribute to the production of periodic columnar pi stacking extended throughout the polymeric networks, in addition to the favorable electronic properties, environmentally friendly nature, and low cost render these 2D-COFs suitable candidates for neuromorphic chip computing. These materials serve as a transportation pathway in the process of electrochemical metallization hence, the formation or rupturing of a metallic conductive filament (CF) under the application of electric field results in resistive switching features. The proposed synaptic device fabricated from Tp-Db-COF exhibits remarkable analogue memory features, such as long retention of (>103), negligible cycle-to-cycle variability and high DC endurance (up to 400 cycles). With such observed characteristics the device accuracy reached 93.60% in image recognition. The next generation of electronics connected to artificial intelligence would be made possible by this successful strategy for creating useful neural networks.

Date of Award	Apr 2023
Original language	American English
Supervisor	Dinesh Shetty (Supervisor)