Artificial Synaptic Performance with Learning Behavior for Memristor Fabricated with Stacked Solution-Processed Switching Layers

Abstract

As one of the promising next-generation electronics, brain-inspired synaptic resistive random access memory (RRAM) devices with stacked solution-processed (SP) spin-coated resistive switching (RS) layers were fabricated in this work. Compared with the RRAM device with a single SP-RS layer (Ag/SP-AlO x /ITO), the device with stacked SP-RS layers (Ag/SP-GaO x /SP-AlO x /ITO) is induced by the metal conductive filament performed with lower power consumption (∼±0.6 V operation voltage), larger read and write capability (∼2 × 10 4 ON/OFF ratio), and enhanced stability (>2 × 10 4 s retention time and >1000 endurance cycles). Multiple conductance states with long-term potentiation and depression (200 pulses) were obtained on Ag/SP-GaO x /SP-AlO x /ITO RRAM devices, which resulted in the human brain-like behavior (learning−forgetting− relearning) of a matrix comprising of RRAM devices with SP-GaO x /SP-AlO x layers. Based on the synaptic performance of Ag/SP-GaO x /SP-AlO x /ITO RRAM devices, an image recognition process based on a neuron network was conducted and the average recognition accuracy was close to 90%.

Emerging Optical In‐Memory Computing Sensor Synapses Based on Low‐Dimensional Nanomaterials for Neuromorphic Networks

“…Current IMC synaptic devices (three-terminal transistor, twoterminal memristor, and atomic switch) represented by the popular nonvolatile memory (NVM) are significantly affected by the purely electronic control, which has an important influence on electrical input/output, delay of resistance-capacitance (RC) interconnection, and circuit crosstalk. [8][9][10][11]19,[21][22][23][24][25][26][27] 1.2. Artificial Optical In-Memory Computing Sensor Synapses Biologically, the normal life of human beings cannot be separated from vision, and the content of vision depends on the light reflected on the surface of things.…”

“…[8,13] Compared with the electrical synapse, the chemical synapse relies on the terminal of the presynaptic neuron to release special chemicals (neurotransmitters) as media for transmitting information to affect the postsynaptic neuron, which is closely related to the high-level neural activities, such as memorizing and learning. [19][20][21][22]31]…”

“…In general, STP behaviors are always reflected by paired-pulse facilitation (PPF) and paired-pulse depression (PPD). [19,21,22] PPF or PPD is demonstrated by the response of the synaptic device to two consecutive external stimuli. [8][9][10][11] After the first stimuli A 1 , the synaptic device may exhibit an increased (decreased) current to respond to the second stimuli A 2 , which results in PPF (PPD).…”

“…Apart from pattern/image recognition, some other researchers also developed the application of mathematic calculation/logic operation of optical IMCS synapses. [9,22] Pi et al emulated the logic calculation of optical synapses fabricated with 0D Si-NC. [147] Before the mathematic calculation, the device demonstrated a linear increment of EPSC with the increase of optical pulse number.…”

Memristor Fabrication Through Printing Technologies: A Review

“…FIGURE 12(d) shows a cross sectional SEM image of the ZnO2 active layer, it can be seen that the thickness is uniform, and the height is almost 100 nm throughout the area. Spin coated memristor was reported Ag/SP-GaOx/SP-AlOx/ITO [126]. The memristor exhibited 2 × 104 s retention time, 1000 endurance cycles, and 2 × 104 ON/OFF ratio.…”