A donor-acceptor structured conjugated copolymer for flexible memory device

Chen

2020

Polymer International

In the era of information explosion, silicon‐based storage can barely meet the burgeoning demand for data storage and making Moore's law no longer accurate. What is more, the traditional von Neumann architecture separates the computing module from the storage unit, which causes a slowing down of the overall computing efficiency. Conjugated polymer memristors, due to the advantages of simple fabrication, convenient operation and low cost, are considered as promising candidates for next‐generation memory and neuromorphic computing applications. This review summarizes the advances in conjugated polymer memristive materials and devices made during the first two decades of the 21st century, and their potential applications in information storage and neuromorphic computing. Focuses are on switching mechanisms and materials classifications, as well as memory, artificial synapse and bioinspired and in‐memory computing performance. © 2020 Society of Chemical Industry

Section: Operating Principle Of Conjugated Polymer Memristorsmentioning

confidence: 99%

Section: Operating Principle Of Conjugated Polymer Memristorsmentioning

confidence: 99%

Section: Conjugated Memristive Polymers For Data Storage Memoriesmentioning

confidence: 99%

See 1 more Smart Citation

Conjugated polymers for information storage and neuromorphic computing

Chen

2020

Polymer International

“…The device size of traditional non-volatile memory has reached technical and physical limits. In order to solve this problem, researchers have proposed some new types of nonvolatile memories [ 1 , 2 , 3 , 4 ]. Among them, resistive random-access memory (RRAM) has aroused extensive interest due to its simple structure, low power consumption, high performance, fast switching speed, long retention time, and compatibility with semiconductor processes [ 1 , 2 , 3 , 4 ].…”

Section: Introductionmentioning

confidence: 99%

“…In order to solve this problem, researchers have proposed some new types of nonvolatile memories [ 1 , 2 , 3 , 4 ]. Among them, resistive random-access memory (RRAM) has aroused extensive interest due to its simple structure, low power consumption, high performance, fast switching speed, long retention time, and compatibility with semiconductor processes [ 1 , 2 , 3 , 4 ]. In recent years, small organic molecules and conjugated polymers have been widely used in non-volatile memory devices due to their simple structure, good processing performance, small size, multi-dimensional storage capabilities, and molecular design [ 1 , 2 , 3 , 4 ].…”

Section: Introductionmentioning

confidence: 99%

Ternary Electrical Memory Devices Based on Polycarbazole: SnO2 Nanoparticles Composite Material

et al. 2022

In this paper, a D–A polymer (PIB) containing carbazole as the donor group in the main chain and benzimidazole benzisoindolinone as the acceptor group was synthesized by Suzuki reaction. The Suzuki reaction, also known as the Suzuki coupling reaction, is a relatively new organic coupling reaction in which aryl or alkenyl boronic acids or boronic acid esters react with chlorine, bromine, iodoaromatic hydrocarbons or alkenes under the catalysis of zerovalent palladium complexes cross-coupling. A series of devices were fabricated by a spin-coating approach, and the devices all exhibited ternary resistance switching storage behavior. Among them, the composite device with the mass fraction of SnO2 NPs of 5 wt% has the best storage performance, with a threshold voltage of −0.4 V and a switching current ratio of 1:101.5:104.5. At the same time, the current of the device remained stable after a 3-h test. Furthermore, after 103 cycles, the current has no obvious attenuation. The device has good stability and continuity. Moreover, the conduction mechanism is further revealed. Inorganic nanoparticle composite devices have splendid memory performances and exhibit underlying application significance in storing data.

Macromol. Rapid Commun.

Building Uniformly Structured Polymer Memristors via a 2D Conjugation Strategy for Neuromorphic Computing

Li,

Fan,

et al. 2024

Polymer memristors represent a highly promising avenue for the advancement of next‐generation computing systems. However, the intrinsic structural heterogeneity characteristic of most polymers often results in organic polymer memristors displaying erratic resistive switching phenomena, which in turn leads to diminished production yields and compromised reliability. In this study, a two‐dimensionally (2D) conjugated polymer, named PBDTT‐BPQTPA, was synthesized by integrating the coplanar bis(thiophene)‐4,8‐dihydrobenzo[1,2‐b:4,5‐b]dithiophene (BDTT) as an electron‐donating unit with a quinoxaline derivative serving as an electron‐accepting unit. The incorporation of triphenylamine groups at the quinoxaline termini significantly enhanced the polymer's conjugation and planarity, thereby facilitating more efficient charge transport. The fabricated polymer memristor with the structure of Al/PBDTT‐BPQTPA/ITO exhibited typical non‐volatile resistive switching behavior under high voltage conditions, along with history‐dependent memristive properties at lower voltages. The unique memristive behavior of the device enabled the simulation of synaptic enhancement/inhibition, learning algorithms, and memory operations. Additionally, the memristor demonstrated its capability for executing logical operations and handling decimal calculations. This study offers a promising and innovative approach for the development of artificial neuromorphic computing systems.This article is protected by copyright. All rights reserved