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Synaptic Characteristics and Vector‐Matrix Multiplication Operation in Highly Uniform and Cost‐Effective Four‐Layer Vertical RRAM Array

Jihyung Kim, Subaek Lee, Sungjoon Kim, Sungjoon Kim, Seyoung Yang, Jung‐Kyu Lee, Tae‐Hyeon Kim, Muhammad Ismail, Chandreswar Mahata, Yoon Kim, Woo Young Choi, Sungjun Kim, Sungjun Kim

2023Advanced Functional Materials59 citationsDOI

Abstract

Abstract This study implements a highly uniform 3D vertically stack resistive random‐access memory (VRRAM) with a four‐layer contact hole structure. The fabrication process of a four‐layer VRRAM is demonstrated, and its physical and electrical properties are thoroughly examined. X‐ray photoelectron spectroscopy and transmission electron microscopy are employed to analyze the chemical distribution and physical structure of the VRRAM device. Multilevel capability, reliable endurance (>10 4 cycles), and retention (10 4 s) are successfully obtained. Synaptic memory plasticity, such as spike time‐dependent plasticity, spike rate‐dependent plasticity, excitatory post‐synaptic current, paired‐pulse facilitation, and long‐term potentiation and depression is presented. Finally, the vector‐matrix multiplication (VMM) operation is conducted on a 4 × 12 VRRAM array, according to the low resistance state ratio. It is ascertained that the accuracy drop, which can occur due to VMM error, can be limited to a decrease of less than 0.44% point. Utilizing the high‐density, multilevel, and biological characteristics of VRRAM, it is possible to implement high‐performance neuromorphic systems that require densely integrated synaptic devices.

Topics & Concepts

Materials scienceResistive random-access memoryNeuromorphic engineeringStack (abstract data type)OptoelectronicsComputer scienceVoltageElectrical engineeringArtificial neural networkProgramming languageMachine learningEngineeringAdvanced Memory and Neural ComputingFerroelectric and Negative Capacitance DevicesNeuroscience and Neural Engineering
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