Energy Efficient Memristor Based on Green-Synthesized 2D Carbonyl-Decorated Organic Polymer and Application in Image Denoising and Edge Detection: Toward Sustainable AI

被引：1

作者：

Pal, Pratibha ^{[1
]}

Li, Hanrui ^{[1
]}

Al-Ajeil, Ruba ^{[2
]}

Mohammed, Abdul Khayum ^{[2
]}

Rezk, Ayman ^{[3
]}

Melinte, Georgian ^{[4
]}

Nayfeh, Ammar ^{[3
]}

Shetty, Dinesh ^{[2
,5
]}

El-Atab, Nazek ^{[1
]}

机构：

[1] King Abdullah Univ Sci & Technol KAUST, Elect & Comp Engn Program, Comp Elect Math Sci & Engn Div, Smart Adv Memory Devices & Applicat SAMA Lab, Thuwal 23955, Saudi Arabia

[2] Khalifa Univ Sci & Technol, Dept Chem, Abu Dhabi 127788, U Arab Emirates

[3] Khalifa Univ Sci & Technol, Dept Elect Engn, Abu Dhabi 127788, U Arab Emirates

[4] King Abdullah Univ Sci & Technol, Core Labs, Thuwal 239556900, Saudi Arabia

[5] Khalifa Univ Sci & Technol, Ctr Catalysis & Separat CeCas, Abu Dhabi 127788, U Arab Emirates

来源：

ADVANCED SCIENCE | 2024年 / 11卷 / 45期

关键词：

2D polymers; green synthesis; memristor; neuromorphic computing; sustainable electronics; INVISIBLE MEMRISTOR; MEMORY;

D O I：

10.1002/advs.202408648

中图分类号：

O6 [化学];

学科分类号：

0703 ;

摘要：

According to the United Nations, around 53 million metric tons of electronic waste is produced every year, worldwide, the big majority of which goes unprocessed. With the rapid advances in AI technologies and adoption of smart gadgets, the demand for powerful logic and memory chips is expected to boom. Therefore, the development of green electronics is crucial to minimizing the impact of the alarmingly increasing e-waste. Here, it is shown the application of a green synthesized, chemically stable, carbonyl-decorated 2D organic, and biocompatible polymer as an active layer in a memristor device, sandwiched between potentially fully recyclable electrodes. The 2D polymer's ultramicro channels, decorated with C & boxH;O and O & horbar;H groups, efficiently promote the formation of copper nanofilaments. As a result, the device shows excellent bipolar resistive switching behavior with the potential to mimic synaptic plasticity. A large resistive switching window (103), low SET/RESET voltage of approximate to 0.5/-1.5 V), excellent device-to-device stability and synaptic features are demonstrated. Leveraging the device's synaptic characteristics, its applications in image denoising and edge detection is examined. The results show a reduction in power consumption by a factor of 103 compared to a traditional Tesla P40 graphics processing unit, indicating great promise for future sustainable AI-based applications. A memristor based on a green-synthesized, chemically stable, biocompatible 2D organic polymer along with potentially recyclable electrodes is demonstrated. This device exhibits excellent resistive switching, stable synaptic features, showing its promising application in image denoising and edge detection. The results confirm the device's higher energy-efficiency compared to traditional GPUs, indicating great promise for future sustainable AI-based applications. image

引用

页数：9