Artificial Neurons Based on Ag/V2C/W Threshold Switching Memristors

Abstract

Artificial synapses and neurons are two critical, fundamental bricks for constructing hardware neural networks. Owing to its high-density integration, outstanding nonlinearity, and modulated plasticity, memristors have attracted emerging attention on emulating biological synapses and neurons. However, fabricating a low-power and robust memristor-based artificial neuron without extra electrical components is still a challenge for brain-inspired systems. In this work, we demonstrate a single two-dimensional (2D) MXene(V2C)-based threshold switching (TS) memristor to emulate a leaky integrate-and-fire (LIF) neuron without auxiliary circuits, originating from the Ag diffusion-based filamentary mechanism. Moreover, our V2C-based artificial neurons faithfully achieve multiple neural functions including leaky integration, threshold-driven fire, self-relaxation, and linear strength-modulated spike frequency characteristics. This work demonstrates that three-atom-type MXene (e.g., V2C) memristors may provide an efficient method to construct the hardware neuromorphic computing systems.

Emerging MXene‐Based Memristors for In‐Memory, Neuromorphic Computing, and Logic Operation

“…Recently, a variety of MXene‐based functional materials have been demonstrated for memristor applications, including single‐component M n+1 X n , laminated heterostructures of MXenes with other materials, and composite structures by chemical modification or physical adsorption (representative examples as listed in Table 1 ). Single‐component M n+1 X n as memristive materials include V 2 C, [ 132–134 ] Ti 3 C 2 T x , [ 76,135 ] etc. Due to the different terminal T x of MXenes and different adopted electrodes, the single‐component MXene‐based memristors can show diverse performances and applications.…”

Nonfullerene Organic Solar Cells with 18.17% Efficiency Obtained Using a V2C/PEDOT:PSS Composite Hole-Transport Layer

“…Based on these advantages, Mxenes materials have been more widely used in the electrodes of organic solar cells, HTL/ETL, etc. At the same time, these advantages of V 2 C are reflected in the applications of supercapacitors, white laser, and switching memristors . Performance of PM6:BTP-eC9-based devices is effectively improved by inserting a layer of V 2 C material between ITO and PEDOT:PSS and provides a new idea for the application of this two-dimensional conductive material in OSCs.…”

Halide perovskite memristor with ultra-high-speed and robust flexibility for artificial neuron applications

“…Thus, a single TS memristor can mimic the basic functions of biological neurons without auxiliary circuits. 3,4 It can also be integrated with drift memristor-based artificial synapses to construct a two-terminal neuron and synapse unit, hence improving integration density and energy efficiency for neuromorphic computing. 5,6 The performance of TS memristor-based artificial neurons is highly dependent on the TS memristor's threshold voltage, leakage current, endurance and switching speed.…”

“…Thus, a single TS memristor can mimic the basic functions of biological neurons without auxiliary circuits. 3,4 It can also be integrated with drift memristor-based artificial synapses to construct a two-terminal neuron and synapse unit, hence improving integration density and energy efficiency for neuromorphic computing. 5,6…”