Two‐Dimensional Metal‐Organic Framework Film for Realizing Optoelectronic Synaptic Plasticity

Liu, Youxing; Wei, Yanan; Liu, Minghui; Bai, Yong; Liu, Guocai; Wang, Xinyu; Shang, Shengcong; Gao, Wenqiang; Du, Changsheng; Chen, Jianyi; Liu, Yunqi

doi:10.1002/anie.202106519

Cited by 53 publications

(48 citation statements)

References 35 publications

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“…In addition, the learning and forgetting processes are corelated with the response time of photocurrent under illumination and recovery time of photocurrent in dark, respectively. The response time was introduced as the interval time from 10% to 90% of max ∆EPSC, [ 54 ] as well as the recovery time. After the stimulus of UV light pulse with duration time of 1.0 s, the average response time (≈0.70 s) and recovery time (≈11.51 s) of five devices were evaluated as shown in Figure S8, Supporting Information, respectively.…”

Section: Resultsmentioning

confidence: 99%

Bidirectional Photoresponse in Perovskite‐ZnO Heterostructure for Fully Optical‐Controlled Artificial Synapse

Huang

et al. 2022

Advanced Optical Materials

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energy consumption and inherent speed limitations. Inspired by human neural system, communicating through synapses with the features of parallel distributed processing and integrated storage and computation, various neuromorphic devices including memristors and fieldeffect transistors have been employed to simulate synaptic functions to overcome the von Neumann bottleneck. [1][2][3] Synaptic plasticity such as long/short-term potentiation (LTP/STP), long/short-term depression (LTD/STD), and paired pulse facilitation/depression (PPF/PPD), have been mimicked by modulating device conductivity (i.e., synaptic weight). Among these synaptic devices, potentiation and depression are always triggered by electrical stimulation. As known the electronic technology suffers the problem of limited computing speed because of the bandwidth connection density trade-off. [4] Fortunately, optoelectronic synapses with the light stimuli exhibit potential for ultrafast computing with advantages of the low crosstalk, high bandwidth, and low power consumption, also can be applied in optical wireless communication. [5,6] Herein, the optoelectronic synapses are operated with direct light illumination and the output is interpreted from the change of electrical conductance. It is different from the photonic devices that are mentioned in the photonic integrated circuits, in which the light is illuminated through a waveguide and output is denoted by the transmittance/absorbance of light in the waveguide. [7,8] However, most of reported optoelectronic devices only show positive photoresponse corresponding to the potentiation behavior of synapses. The achievement of depression behavior still depends on electrical stimulation due to the unidirectional photoresponse of devices. Therefore, a device with bidirectional photoresponse to emulate both excitatory and inhibitory behaviors for a fully optical-controlled artificial synapse is highly desired.Recently, a few of fully optical-controlled artificial synapses have been reported, such as pyrenyl graphdiyne/graphene/ PbS heterostructure, [5] Bi 2 O 2 Se/graphene hybrid structure, [6] ZnO/PbS hybrid heterostructure, [9] oxygen-deficient/oxygenrich InGaZnO homojunction, and black phosphorus. [10][11][12][13] Both the excitatory and inhibitory synaptic behaviors of Compared with electrical synapses, optoelectronic synapses exhibit great potential for ultrafast computing and wireless communication in neuromorphic hardware with advantages of low crosstalk, high bandwidth, and low power consumption. However, due to the unidirectional photoresponse in most of optoelectronic synapses, the related researches still focus on the electrical stimulation of inhibitory behaviors. Herein, a synaptic device based on perovskite−ZnO heterostructure is prepared with the characteristic of bidirectional photoresponse and can realize both the potentiation and depression by ultraviolet (UV) and green light stimuli, respectively. Consecutive UV and green light stimuli for potentiation and depression reveal the reliability ...

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Section: Resultsmentioning

confidence: 99%

Bidirectional Photoresponse in Perovskite‐ZnO Heterostructure for Fully Optical‐Controlled Artificial Synapse

Huang

et al. 2022

Advanced Optical Materials

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“…However, few researches have been done to see if the 2D MOF might be used as the active layer in simulating the human synapse. As a result, Liu and his colleagues presented a light-stimulated MOF-based (Cu-THPP, THPP = 5,10,15,20-tetrakis(4-hydroxyphenyl)-21H, 23H-porphine) synaptic device with remarkable synaptic plasticity characteristics and good stability under air exposure, accelerating the advancement of neuromorphic devices in practical applications [145]. Ding et al [146] used a 2D MOF, Zn-TCPP (TCPP: tetrakis(4-carboxyphenyl)porphyrin), as the charge trapping layer to replicate neural plasticity and dynamic filtering (figures 11(a) and (b)).…”

Section: Neuromorphic Computingmentioning

confidence: 99%

Evolutionary 2D organic crystals for optoelectronic transistors and neuromorphic computing

Qian¹,

Bu²,

Wang³

et al. 2022

Neuromorph. Comput. Eng.

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Brain-inspired neuromorphic computing has been extensively researched, taking advantage of increased computer power, the acquisition of massive data, and algorithm optimization. Neuromorphic computing requires mimicking synaptic plasticity and enables near-in-sensor computing. In synaptic transistors, how to elaborate and examine the link between microstructure and characteristics is a major difficulty. Due to the absence of interlayer shielding effects, defect-free interfaces, and wide spectrum responses, reducing the thickness of organic crystals to the 2D limit has a lot of application possibilities in this computing paradigm. This paper presents an update on the progress of 2D organic crystal-based transistors for data storage and neuromorphic computing. The promises and synthesis methodologies of 2D organic crystals are summarized. Following that, applications of 2D organic crystals for ferroelectric nonvolatile memory, circuit-type optoelectronic synapses, and neuromorphic computing are addressed. Finally, new insights and challenges for the field's future prospects are presented, pushing the boundaries of neuromorphic computing even farther.

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“…The field of 2D MOF-related research has grown at a spectacular pace as manifested in the ever-increasing list of applications, such as thermoelectric, [104] spintronics, [105] optoelectronic, [106,107] and electronic devices. [108,109] Still, the need for new synthetic routes to high yield production of high quality 2D MOFs is calling all organic and materials scientists, and thus is the motivation of this review.…”

Section: Future Outlookmentioning

confidence: 99%

Current Progress and Scalable Approach toward the Synthesis of 2D Metal–Organic Frameworks

Chen

Yang

Koh

et al. 2022

Adv Materials Inter

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2D metal–organic frameworks (MOF) have demonstrated exceptional properties and advantages for applications in catalysis, membrane separation, medicine, and energy harvesting and storage systems as compared to their bulk counterpart. Despite these promises, scalable synthesis of 2D MOFs remains a frontier challenge in chemistry, which limits its potential for commercialization. This review article provides a brief overview on different 2D MOF synthetic approaches followed by recent advances toward the scalable synthesis of 2D MOFs.

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Two‐Dimensional Metal‐Organic Framework Film for Realizing Optoelectronic Synaptic Plasticity

Cited by 53 publications

References 35 publications

Bidirectional Photoresponse in Perovskite‐ZnO Heterostructure for Fully Optical‐Controlled Artificial Synapse

Bidirectional Photoresponse in Perovskite‐ZnO Heterostructure for Fully Optical‐Controlled Artificial Synapse

Evolutionary 2D organic crystals for optoelectronic transistors and neuromorphic computing

Current Progress and Scalable Approach toward the Synthesis of 2D Metal–Organic Frameworks

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