JOURNAL ARTICLE

Natural Organic Fructose-based Nonvolatile Resistive Switching Memory for Environmental Sustainability in Computing

Abstract

The fast growth and wide applications of Internet of Things (IoT) require enormous amounts of energy consumption and hardware devices for computation, which present significant challenges of energy efficiency and environmental sustainability. Von Neumann computing architecture is reaching its bottleneck and limited by low energy efficiency. Fabrication of conventional semiconductor devices results in depletion of nonrenewable resources, while the disposal of these devices causes electronic waste with serious ecological, health, and economic issues. One potential solution to address these challenges simultaneously is by brain-like neuromorphic computing with essential hardware components made from natural organic materials for energy efficient operation, sustainable material source, and biodegradable disposal. As the core hardware component, nonvolatile resistive switching random access memory (ReRAM) based on natural organic materials such as fructose, Aloe vera, chitosan, honey, etc. [1]–[4] have reported promising nonvolatile resistive switching properties. In this paper, a new fructose-based nonvolatile ReRAM is investigated with the resistive switching speed reported for the first time.

Keywords:
Computer science Bottleneck Efficient energy use Non-volatile memory Resistive random-access memory Embedded system Materials science Computer hardware Electrical engineering Engineering

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Topics

Advanced Memory and Neural Computing
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