Evolutionary 2D organic crystals for optoelectronic transistors and neuromorphic computing

Qian, Fangsheng; Bu, Xiaobo; Wang, Junjie; Lv, Ziyu; Han, Su‐Ting; Zhou, Ye

doi:10.1088/2634-4386/ac4a84

Cited by 9 publications

(10 citation statements)

References 158 publications

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“…[ 24,25 ] According to these features, various types of complex information, such as visual, auditory, and tactile information, can be processed in the brain. [ 26–32 ]…”

Section: Introductionmentioning

confidence: 99%

“…Because of the multifunctional characteristics of the 2D materials, such as optoelectronic and anisotropy characteristics, 2D materials‐based devices can be operated by the various inputs. [ 32,43,44 ] For instance, electrical and optical inputs could be utilized simultaneously to achieve synaptic reactions. [ 45 ] Based on these properties, excitatory and inhibitory synaptic functions could be emulated.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Neurotransmitter‐Induced Excitatory and Inhibitory Functions in Artificial Synapses

Kim

Lee

2022

Adv Funct Materials

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Neurotransmitters control signal transmission in the nervous system. The signals of neuron cells can be excited or inhibited based on the types of neurotransmitters that are released from pre-synaptic neurons. The balance of the excitatory and inhibitory synaptic responses has important implications for the versatility, plasticity, and parallel computing characteristics of the nervous system. Emulating the excitatory-inhibitory balancing characteristics is one way to establish the versatility and plasticity characteristics of the brain. In this study, the authors develop artificial synapses to emulate the excitatory and inhibitory functions of biological synapses using electrochemical reactions between the channel and neurotransmitter solutions. The devices show excitatory and inhibitory characteristics depending on types of neurotransmitter solutions. The interaction between these two types of synaptic responses is employed for emulating the excitatory-inhibitory balance characteristics. The devices emulate the multifunctional characteristics of biological synapses, resulting in their potential for use in bio-realistic neuromorphic devices.

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“…[ 24,25 ] According to these features, various types of complex information, such as visual, auditory, and tactile information, can be processed in the brain. [ 26–32 ]…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Neurotransmitter‐Induced Excitatory and Inhibitory Functions in Artificial Synapses

Kim

Lee

2022

Adv Funct Materials

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“…In artificial synapses, multiplication operations can be done by using Ohm's law, which results in faster operation speed and lower energy consumption 5,6 . Also, the accumulation processes can be done by using Kirchhoff's law 5 .To implement the VMM operation, emerging two-terminal memories such as phase-change memory and resistive-switching memory have been investigated as artificial synapses [9][10][11][12][13][14] . Several NN models have been demonstrated using two-terminal memories.…”

mentioning

confidence: 99%

“…To implement the VMM operation, emerging two-terminal memories such as phase-change memory and resistive-switching memory have been investigated as artificial synapses [9][10][11][12][13][14] . Several NN models have been demonstrated using two-terminal memories.…”

mentioning

confidence: 99%

Highly-scaled and fully-integrated 3-dimensional ferroelectric transistor array for hardware implementation of neural networks

Kim

Lee

2023

Nat Commun

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Hardware-based neural networks (NNs) can provide a significant breakthrough in artificial intelligence applications due to their ability to extract features from unstructured data and learn from them. However, realizing complex NN models remains challenging because different tasks, such as feature extraction and classification, should be performed at different memory elements and arrays. This further increases the required number of memory arrays and chip size. Here, we propose a three-dimensional ferroelectric NAND (3D FeNAND) array for the area-efficient hardware implementation of NNs. Vector-matrix multiplication is successfully demonstrated using the integrated 3D FeNAND arrays, and excellent pattern classification is achieved. By allocating each array of vertical layers in 3D FeNAND as the hidden layer of NN, each layer can be used to perform different tasks, and the classification of color-mixed patterns is achieved. This work provides a practical strategy to realize high-performance and highly efficient NN systems by stacking computation components vertically.

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“…In Qian et al [3], the recent advancements in ferroelectric devices and neuromorphic computing devices based on 2D organic crystals were reviewed. To elaborate the connection between the characteristics of 2D organic materials and their microstructures, they provided an overview of the synthesis strategies for large-scale, high-quality and monolayer 2D organic crystals.…”

mentioning

confidence: 99%

Editorial: Focus issue on 2D materials for neuromorphic computing

Miao

Yang

Valov

et al. 2023

Neuromorph. Comput. Eng.

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Neuromorphic computing aims at mimicking the synapses, dendrites, and neurons in the brain as well as their associated connected networks to perform a variety of complex tasks including sensing, computing, perception, sometimes by directly utilizing the physical properties of materials. Their functionality diversity and performance highly depend on the use of materials. Compared to the conventional materials, 2D materials exhibit many unique physical properties and the research of 2D materials has reshaped the field of neuromorphic computing. This special issue presents some of the innovations in using devices based on 2D materials to emulate the biological synapses or generate noise injection to hardware neural networks. The issue also provides a comprehensive analysis of recent advances in exploiting the unique physical properties of 2D materials for neuromorphic computing. These innovations and analysis may serve as a useful guide to further advance 2D materials for practical applications. This special issue includes two research articles and four review articles, with contents briefly summarized in the following paragraphs.

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Evolutionary 2D organic crystals for optoelectronic transistors and neuromorphic computing

Cited by 9 publications

References 158 publications

Neurotransmitter‐Induced Excitatory and Inhibitory Functions in Artificial Synapses

Neurotransmitter‐Induced Excitatory and Inhibitory Functions in Artificial Synapses

Highly-scaled and fully-integrated 3-dimensional ferroelectric transistor array for hardware implementation of neural networks

Editorial: Focus issue on 2D materials for neuromorphic computing

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