Imidazole-based artificial synapses for neuromorphic computing: a cluster-type conductive filament <i>via</i> controllable nanocluster nucleation

Oh, Jungyeop; Yang, Sang Yoon; Kim, Sungkyu; Lee, Changhyeon; Cha, Jihoon; Jang, Byung Chul; Im, Seyoung; Choi, Sung‐Yool

doi:10.1039/d2mh01522f

Mater. Horiz.

2023

DOI: 10.1039/d2mh01522f

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Imidazole-based artificial synapses for neuromorphic computing: a cluster-type conductive filament via controllable nanocluster nucleation

Jungyeop Oh

Sang Yoon Yang

Sungkyu Kim

et al.

Abstract: Neuromorphic systems, conducting bridging random-access memory, initiated chemical vapor deposition, copolymerization, deep neural networks, and artificial synapses.

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Cited by 6 publications

References 60 publications

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

Kim,

Lee,

Kim

et al. 2023

Adv Funct Materials

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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 (>104 cycles), and retention (104 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.

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

Kim,

Lee,

Kim

et al. 2023

Adv Funct Materials

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Flexible Zn‐TCPP Nanosheet‐Based Memristor for Ultralow‐Power Biomimetic Sensing System and High‐Precision Gesture Recognition

Wang,

Su,

Ouyang

et al. 2024

Adv Funct Materials

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The flexible biomimetic sensory system inspired by biology exhibits learning, memory, and cognitive behavior toward external stimuli, providing a promising direction for the future development of the artificial intelligence industry. In this work, a Zn‐TCPP (TCPP: tetrakis (4‐carboxyphenyl) porphyrin) based flexible memristor with ultra‐low both operating voltage (≈80 mV) and power consumption (0.39 nW) that simulates typical synaptic plasticities, under continuously adjustable ultra‐low voltage pulses (50 mV). The synaptic properties are well maintained even when bending 1000 times at a radius of 5 mm. Furthermore, the flexible bionic sensing system integrated with Zn‐TCPP based memristor and cotton fibre piezoresistive sensor can remember pressure and deformation current, thus simulate the learning‐forgetting‐relearning characteristics under mechanical stimuli (power supply = 100 mV). Especially, the system achieves a high recognition rate of 97% for gestures through self‐built datasets and neural network calculations and remains at a high level under the influence of 10% Gaussian noise (80%) and 5 mm bending state (91%). Consequently, the ultralow‐power flexible biomimetic sensing system shows great potential in the field of integrated artificial intelligence with multiple modules, paving the way for the development of low‐power biomimetic robots in the future.

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Designing Organic and Hybrid Surfaces and Devices with Initiated Chemical Vapor Deposition (iCVD)

Gleason

2023

Advanced Materials

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The initiated Chemical Vapor Deposition (iCVD) technique is an all‐dry method for designing organic and hybrid polymers. Unlike methods utilizing liquids or line‐of‐sight arrival, iCVD provides conformal surface modification over intricate geometries. Uniform, high‐purity, and pinhole‐free iCVD films can be grown with thicknesses ranging from > 15 μm to < 5 nm. The mild conditions permit damage‐free growth directly on to flexible substrates, 2D materials, and liquids. Novel iCVD polymer morphologies include nanostructured surfaces, nanoporosity, and shaped particles. The well‐established fundamentals of iCVD facilitate the systematic design and optimization of polymers and copolymers. The functional groups provide fine tuning of surface energy, surface charge, and responsive behavior. Further reactions of the functional groups in the polymers can yield either surface modification, compositional gradients through the layer thickness, or complete chemical conversion of the bulk film. The iCVD polymers have been integrated into multilayer device structures as desired for applications in sensing, electronics, optics, electrochemical energy storage, and biotechnology. For these devices, hybrids offer higher values of refractive index and dielectric constant. Multivinyl monomers typically produce ultrasmooth and pinhole‐free and mechanically deformable layers and robust interfaces which are especially promising for electronic skins and wearable optoelectronics.This article is protected by copyright. All rights reserved

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Imidazole-based artificial synapses for neuromorphic computing: a cluster-type conductive filament via controllable nanocluster nucleation

Abstract: Neuromorphic systems, conducting bridging random-access memory, initiated chemical vapor deposition, copolymerization, deep neural networks, and artificial synapses.

Cited by 6 publications

References 60 publications

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

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

Flexible Zn‐TCPP Nanosheet‐Based Memristor for Ultralow‐Power Biomimetic Sensing System and High‐Precision Gesture Recognition

Designing Organic and Hybrid Surfaces and Devices with Initiated Chemical Vapor Deposition (iCVD)

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