Advanced Electronic Materials
·
2021
·Vol. 7
·期 8
·2100291
·
IF 7.295
Jie Lao,Wen Xu,Chunli Jiang,Ni Zhong,Bobo Tian,Hechun Lin,Chunhua Luo,Jadranka Travas-Sejdic,Hui Peng,Chun-Gang Duan
Artificial synapse of neuromorphic computing has been attracting significant attention as an alternative concept for next-generation computing. Here, a two-terminal synaptic device based on potassium iodide (KI) and CH 3 NH 3 PbI 3 (MAPbI 3 ) hybrid film (KI–MAPbI 3 ) is reported. The use of KI as an additive in the film preparation process greatly reduces grain boundaries, facilitating the improvement of device performance. The prepared synaptic device exhibits dual response to electric and light stimuli due to the unique properties of MAPbI 3 . Besides the successful simulation of biological synaptic functionalities such as paired-pulse facilitation (PPF), plasticity in long-term potentiation (LTP), and long-term depression (LTD), the learning behavior of human under different moods and Pavlov's dog experiment are also simulated by combining electric and light stimuli. For image recognition, the simulation result shows that the device achieves an accuracy of 84.2% under light illumination after only 1500 learning phases.
研究领域:
神经形态计算
·
材料科学
·
仿生学
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DOI
高影响因子
CHEMICAL ENGINEERING JOURNAL
·
2023
·
IF 15.1
Shuaifei Mao,Mingqing Cui,Sheng Jiang,Pengfei Zhao,Jie Lao,Chunli Jiang,Chunhua Luo,Bobo Tian,Hechun Lin,Jadranka Travas-sejdic,Hui Peng,Chun-Gang Duan
The lead-free perovskite-inspired materials are regarded as one of the alternatives to lead-based perovskite for the preparation of neuromorphic devices due to their low toxicity, excellent optical and transport properties. Herein, a two-terminal artificial synapse was fabricated based on a novel lead-free halide Cu 2 AgBiI 6 thin film. The fabricated device exhibited the versatile synaptic behavior whether subjected to external electrical or optical stimulation benefitting from the excellent photoelectric characteristics of Cu 2 AgBiI 6 . Furthermore, the intrinsic photovoltaic feature of Cu 2 AgBiI 6 enabled the device with capabilities of operating in a self-powered mode under optical stimulation. The device successfully imitated the retina’s capacity for color perception by employing optical pulses of various wavelengths. The dependence of the device response on the optical pulse frequency allowed it to function as a high-pass filter for image sharpening. At last, the device was applied for the information encryption and decryption transmission based on a constructed password book including 128 common characters and numbers, which shows great potential for information encryption and decryption transmission. The comprehensive characters of the device display great superiority over other artificial synaptic devices.
研究领域:
神经形态计算
·
材料科学
·
光电学
✓ 已验证
产品关联
DOI
高影响因子
ADVANCED FUNCTIONAL MATERIALS
·
2023
·Vol. 34
·期 1
·2309054
·
IF 19
Guangyue Shen,Chenyu Zhuge,Jiandong Jiang,Yujun Fu,Yiming Zheng,Zhaoyang Qin,Qi Wang,Deyan He
Neuromorphic computing inspired by memristors has gained considerable attention due to its low power and easy integration. However, state-of-the-art two-terminal resistive switching memristors based on conductive filament formation suffer from high variability and poor controllability. As a three-terminal device operated through electrochemistry and dynamic insertion/extraction of ions, the electrochemical ion synapse demonstrates deterministic control of electron conductivity based on ion doping. But, integrating the electrochemical ion synapse into crossbar arrays will pose higher challenges and lower integration density. Herein, inspired by first-principles calculations, a two-terminal bidirectional plasticity electrochemical artificial synapse with integrated lithium polymer electrolyte and polycrystalline tungsten oxide layer is reported. The linearity and stability of the device weight update are greatly improved by adjusting the defect concentration of the polycrystalline WO 3 layer. Even after 16 000 write-read events in the air, its performance remained almost unchanged. Moreover, it has an over-limit protection mechanism under one-way stimulation that exceeds the normal range. Based on this excellent stability, the authors designed and successfully simulated the “muscle memory” that the programmatical organization of the nervous system leads to proficiency in specific actions.
研究领域:
神经形态计算
·
材料科学
·
电子工程
✓ 已验证
DOI
高影响因子
Materials Today Physics
·
2021
·
IF 9.298
Jiangdong Gong,Huanhuan Wei,Yao Ni,Shuo Zhang,Yi Du,Wentao Xu
Optoelectronic synapses that integrate and process light and electric signals simultaneously received giant attention for the development of artificial visual system. However, to mimic robust perception and processing ability of biological vision demands exceptional photoresponse and tunable plasticity of the optoelectronic synaptic units. Herein, we demonstrated a Methylammonium (MA) halide-doped perovskite artificial synapse. The introduction of MA halide additives into formamidinium lead iodide (FAPbI 3 ) can effectively improve the film morphology and crystallinity , leading to a wider regulatory range of synaptic plasticity. The effect of light irradiation on shaping synaptic plasticity was revealed to realize important synaptic functions. With the assistance of light stimuli, high-order learning behaviors have been achieved, including dynamic logic operation and conditioned reflex. A higher pattern recognition accuracy (88.2%) of handwritten digits was achieved in simulation. Moreover, the correlation between light irradiation and the hybrid perovskite-based artificial synapse can be utilized to perceive environmental change and to tune information processing efficiency. These results provide a new strategy for constructing future artificial intelligent system.
研究领域:
材料科学
·
神经形态计算
·
光电技术
✓ 已验证
DOI
高影响因子
InfoMat
·
2024
·Vol. 6
·期 10
·e12599
·
IF 22.7
Jun Yu,Jiawei Fu,Hongcheng Ruan,Han Wang,Yimeng Yu,Jinpeng Wang,Yuhui He,Jinsong Wu,Fuwei Zhuge,Ying Ma,Tianyou Zhai
Local phase transition in transition metal dichalcogenides (TMDCs) by lithium intercalation enables the fabrication of high-quality contact interfaces in two-dimensional (2D) electronic devices. However, controlling the intercalation of lithium is hitherto challenging in vertically stacked van der Waals heterostructures (vdWHs) due to the random diffusion of lithium ions in the hetero-interface, which hinders their application for contact engineering of 2D vdWHs devices. Herein, a strategy to restrict the lithium intercalation pathway in vdWHs is developed by using surface-permeation assisted intercalation while sealing all edges, based on which a high-performance edge-contact MoS 2 vdWHs floating-gate transistor is demonstrated. Our method avoids intercalation from edges that are prone to be random but intentionally promotes lithium intercalation from the top surface. The derived MoS 2 floating-gate transistor exhibits improved interface quality and significantly reduced subthreshold swing ( SS ) from >600 to 100 mV dec –1 . In addition, ultrafast program/erase performance together with well-distinguished 32 memory states are demonstrated, making it a promising candidate for low-power artificial synapses. The study on controlling the lithium intercalation pathways in 2D vdWHs offers a viable route toward high-performance 2D electronics for memory and neuromorphic computing purposes.
研究领域:
材料科学
·
电子工程
·
神经形态计算
✓ 已验证
DOI
高影响因子
Nature Communications
·
2022
·Vol. 13
·期 1
·1-11
·
IF 17.694
Liu Jiaqi,Gong Jiangdong,Wei Huanhuan,Li Yameng,Wu Haixia,Jiang Chengpeng,Li Yuelong,Xu Wentao
Brain-inspired electronics require artificial synapses that have ultra-low energy consumption, high operating speed, and stable flexibility. Here, we demonstrate a flexible artificial synapse that uses a rapidly crystallized perovskite layer at room temperature. The device achieves a series of synaptic functions, including logical operations, temporal and spatial rules, and associative learning. Passivation using phenethyl-ammonium iodide eliminated defects and charge traps to reduce the energy consumption to 13.5 aJ per synaptic event, which is the world record for two-terminal artificial synapses. At this ultralow energy consumption, the device achieves ultrafast response frequency of up to 4.17 MHz; which is orders of magnitude magnitudes higher than previous perovskite artificial synapses. A multi-stimulus accumulative artificial neuromuscular system was then fabricated using the perovskite synapse as a key processing unit to control electrochemical artificial muscles, and realized muscular-fatigue warning. This artificial synapse will have applications in future bio-inspired electronics and neurorobots.
研究领域:
神经形态工程
·
材料科学
·
生物医学工程
✓ 已验证
产品关联
DOI
PubMed
高影响因子
CHEMICAL ENGINEERING JOURNAL
·
2024
·
IF 13.3
Jianhua Zeng,Libo Chen,Tianzhao Bu,Ziyue Wang,Likun Gong,Zhi-Bin Zhang,Junqing Zhao,Zhong Lin Wang,Chi Zhang
Stretchable synaptic devices with adaptability to elastic deformation, sensing environmental stimuli, and unique information processing functions are of great significance for the development of the next generation of artificial nervous systems. Here, an intrinsically stretchable tribotronic mechanoplastic artificial synapse (STMAS) is proposed, which is integrated by a triboelectric nanogenerator and an electrolyte-gated transistor with ion-gel as dielectric layer. The STMAS can be modulated by the triboelectric potential induced by mechanical stimulation without the need to apply an external gate voltage, achieving an active mechanical tuning of synaptic plasticity such as excitatory postsynaptic current, paired-pulse facilitation, short-term plasticity, and long-term plasticity. The STMAS exhibits stable synaptic plasticity under 0–50% stretcher strain in parallel and vertical to channel directions, respectively. Furthermore, the International Morse code triggered by mechanical signals has been successfully mimicked. This work has achieved an intrinsically stretchable tribotronic artificial synapse with mechanically tuned synaptic behavior, which will help promote the development of artificial nervous systems and expand the applications of artificial synapses in intelligent robotics, artificial limbs and human–machine interaction.
研究领域:
神经科学
·
材料科学
·
生物医学工程
✓ 已验证
产品关联
DOI
高影响因子
Journal of Materials Chemistry C
·
2025
·
IF 5.1
Tao Jin,Wenju Li,Yongyi Zhang,Ruiheng Wang,Shuai Wang,Chen Pan,Guan Wang,Jiacheng Zhang,Lei Yao,Jing Zhang,Qichun Zhang
Artificial synapses have gained considerable attention in modeling artificial visual systems. Facile and efficient p-n heterojunction, acting as the essential component, plays a critical role in configuration optimization and processing capabilities. Herein, we introduced a novel charge-transfer cocrystal that consisted of 5,8-dihydroindolo[2,3-c]carbazole (DDCB) and 7,7,8,8-tetracyanoquinodimethane (TCNQ) via solution-process, which demonstrated good crystallinity and typical n-type charge transport characteristics. To realize good charge storage ability, crystalline p-n heterojunctions with a phase-separated heterostructure were one-step prepared by drop-casting TIPS-pentacene and DDCB/TCNQ solutions onto the substrate. The as-prepared artificial synaptic devices exhibited remarkable paired-pulse facilitation (PPF), spike-duration dependent plasticity, spike-intensity dependent plasticity, and learning-experience behaviors similar to those of biological synapses in response to light pulses. Furthermore, based on the light potentiation and electrical depression modulation properties of these synaptic devices, we constructed artificial neural networks for image recognition, achieving a validation accuracy of over 97% on the modified national institute of standards and technology (MNIST) dataset. This work provides a new simple approach in establishing p-n heterojunction based artificial synapses for applications in light information processing, artificial vision, and memory simulation.
研究领域:
材料科学
·
神经形态工程
·
电子器件
✓ 已验证
DOI
高影响因子
Nano Energy
·
2025
·
IF 17.1
Hao Zong,Fan Zhou,Zhong-Da Zhang,Jia-Wei Cai,Ya-Nan Zhong,Jian-Long Xu,Xu Gao,Sui-Dong Wang,Gang Zhou
Artificial synapses have attracted growing attention in artificial intelligence and neuromorphic computing. Currently available synaptic devices often adopt electrical parameters as their synaptic weight, whereas electrochromic artificial synapses with optical synaptic weight, providing unique visual functionality, are highly desirable yet challenging. We report a universal strategy to construct flexible multicolored hydrogel devices with different viologen derivatives. Using transmittance as their optical postsynaptic potential, these viologen-based artificial synapses demonstrate synaptic plasticity in coloration, dependent on the amplitude, duration, number, and frequency of electrical stimulating pulses. The synaptic features of the electrochromic devices, such as paired-pulse facilitation and short-term memory, can be regulated readily by selecting different viologen molecules. Typically, in response to a low-voltage stimulus of 2.0 V at 1.0 Hz, the transmittance of the viologen-based device is significantly reduced by 84 % after 100 pulses, with a short-term retention exceeding 300 s. By leveraging a simple combination of two different wearable electrochromic synapses with distinct levels of synaptic plasticity, electrocardiogram signals are able to be converted into intuitive color changes, offering real-time visualized health feedback. This work not only develops a versatile approach to electrochromic artificial synapses, but also expands their application scenarios to health monitoring through straightforward physiological information visualization.
研究领域:
人工智能
·
神经形态计算
·
生物医学工程
·
材料科学
✓ 已验证
产品关联
DOI
高影响因子
ADVANCED FUNCTIONAL MATERIALS
·
2020
·Vol. 30
·期 46
·2005413
·
IF 16.836
Jiangdong Gong,Haiyang Yu,Xin Zhou,Huanhuan Wei,Mingxue Ma,Hong Han,Shuo Zhang,Yao Ni,Yuelong Li,Wentao Xu
Polycrystalline organometal halide perovskite films have been recently exploited as the active layer in artificial synapses, demonstrating the basic functional emulation of biological synapses. However, for the implementation of neuromorphic computing and bioinspired intelligent systems, full synapse-like functionality with a simple structure and extremely low energy consumption are of crucial importance. Here, a modified thickness-confined surfactant-assistant self-assembly strategy is proposed to synthesize CH 3 NH 3 PbBr 3 single-crystalline thin platelets (SCTPs) and a two-terminal lateral-structured synaptic device with ultralow operating current down to sub-pA is fabricated. Essential synaptic behaviors are realized, including paired-pulse facilitation, spike-dependent plasticity, transition from sensory memory to short-term memory and potentiation/depression. Furthermore, the activity-dependent plasticity is also demonstrated on the SCTP-based artificial synapse, which may enable nociceptors to detect intense external harm. These results provide a new protocol for designing lateral-structured synaptic devices based on hybrid perovskite SCTPs and future neuromorphic bioelectronics.
研究领域:
材料科学
·
神经形态计算
·
生物电子学
✓ 已验证
产品关联
DOI
高影响因子
ACS Applied Electronic Materials
·
2024
·
IF 4.3
Mingqing Cui,Zhiyun Wei,Pengfei Zhao,Chunli Jiang,Chunhua Luo,Hechun Lin,Junliang Zhao,Xiaodong Tang,Hui Peng
To address the challenges faced by a traditional computing system with von Neumann architecture, various artificial synapses and neurons have been developed. In this work, a two-terminal device was developed using an organic p-type semiconductor copper phthalocyanine (CuPc) and a molecular ferroelectric diisopropylammonium bromide (DIPAB). The incorporation of the ferroelectric layer DIPAB not only introduces an energy barrier for the migration of photogenerated carriers to enhance the device’s synaptic performance but also enables the modulation of the device response to the light pulses by changing the polarization state of DIPAB. The device successfully mimics the biological synaptic functions including paired-pulse facilitation (PFF), spike-rate-dependent plasticity (SRDP), and spike-number-dependent plasticity (SNDP). The device is employed to recognize MNIST handwritten digits, achieving a recognition rate of over 75% for MNIST handwritten digits even with 50% noise interference. These results suggest the device’s potential for neuromorphic computing.
研究领域:
材料科学
·
神经科学
·
计算机科学
✓ 已验证
产品关联
DOI
高影响因子
ACS Applied Materials & Interfaces
·
2021
·
IF 9.229
Lei Liu,Ziqiang Cheng,Bei Jiang,Yanxin Liu,Yanli Zhang,Fan Yang,Jiahong Wang,Xue-Feng Yu,Paul K. Chu,Cong Ye
The memristor is a foundational device for an artificial synapse, which is essential to realize next-generation neuromorphic computing. Herein, an optoelectronic memristor based on a two-dimensional (2D) transitional-metal trichalcogenide (TMTC) is designed and demonstrated. Owing to the excellent optical and electrical characteristics of titanium trisulfide (TiS3), the memristor exhibits stable bipolar resistance switching (RS) as a result of the controllable formation and rupturing of the conductive aluminum filaments. Multilevel storage is realized with light of multiple wavelengths between 400 and 808 nm, and the synaptic properties such as conduction modulation and spiking timing-dependent plasticity (STDP) are achieved. On the basis of the photonic potentiation and electrical habitual ability, Pavlovian-associative learning is successfully established on this TiS3-based artificial synapse. All these results reveal the large potential of 2D TMTCs in artificial neuromorphic chips.
研究领域:
材料科学
·
神经科学
·
电子工程
✓ 已验证
产品关联
DOI
PubMed
高影响因子
危险品化学品经营许可证（带存储）