Literature DB >> 30604810

2D electric-double-layer phototransistor for photoelectronic and spatiotemporal hybrid neuromorphic integration.

Jie Jiang1, Wennan Hu, Dingdong Xie, Junliang Yang, Jun He, Yongli Gao, Qing Wan.   

Abstract

The hardware implementation of neuromorphic computing has attracted growing interest as a promising candidate for confronting the bottleneck of traditional von Neumann computers. However, most previous reports are focusd on emulating the synaptic behaviors by a mono-mode using an electric-driving or photo-driving approach, resulting in a big challenge to synchronously handle the natural photoelectric information. Herein, we report a multifunctional photoelectronic hybrid-integrated synaptic device based on the electric-double-layer (EDL) MoS2 phototransistor. Interestingly, the electric MoS2 synapse exhibits a potentiation filtering effect, while the photonic counterpart can implement both potentiation and depression filtering effects. Most importantly, for the first time, photoelectronic and spatio-temporal four-dimensional (4D) hybrid integration was successfully demonstrated by the synergic interplay between photonic and electric stimuli within a single MoS2 synapse. An energy band model is proposed to further understand such a photoelectronic and spatio-temporal 4D hybrid coupling mechanism. These results might provide an alternative solution for the size-scaling and intellectualization campaign of the post-Moore era, and for more sophisticated photoelectronic hybrid computing in the emerging neuromorphic nanoelectronics.

Entities:  

Year:  2019        PMID: 30604810     DOI: 10.1039/c8nr07133k

Source DB:  PubMed          Journal:  Nanoscale        ISSN: 2040-3364            Impact factor:   7.790


  6 in total

1.  Quick Optical Identification of the Defect Formation in Monolayer WSe2 for Growth Optimization.

Authors:  Long Fang; Haitao Chen; Xiaoming Yuan; Han Huang; Gen Chen; Lin Li; Junnan Ding; Jun He; Shaohua Tao
Journal:  Nanoscale Res Lett       Date:  2019-08-14       Impact factor: 4.703

2.  Neuromorphic device based on silicon nanosheets.

Authors:  Chenhao Wang; Xinyi Xu; Xiaodong Pi; Mark D Butala; Wen Huang; Lei Yin; Wenbing Peng; Munir Ali; Srikrishna Chanakya Bodepudi; Xvsheng Qiao; Yang Xu; Wei Sun; Deren Yang
Journal:  Nat Commun       Date:  2022-09-05       Impact factor: 17.694

3.  Multi-level Cells and Quantized Conductance Characteristics of Al2O3-Based RRAM Device for Neuromorphic System.

Authors:  Yunseok Lee; Jongmin Park; Daewon Chung; Kisong Lee; Sungjun Kim
Journal:  Nanoscale Res Lett       Date:  2022-09-03       Impact factor: 5.418

4.  Improved Resistive Switching with Low-Power Synaptic Behaviors of ZnO/Al2O3 Bilayer Structure.

Authors:  Chandreswar Mahata; Jongmin Park; Muhammad Ismail; Dae Hwan Kim; Sungjun Kim
Journal:  Materials (Basel)       Date:  2022-09-26       Impact factor: 3.748

5.  A biomimetic 2D transistor for audiomorphic computing.

Authors:  Sarbashis Das; Akhil Dodda; Saptarshi Das
Journal:  Nat Commun       Date:  2019-08-01       Impact factor: 14.919

Review 6.  Memristive Artificial Synapses for Neuromorphic Computing.

Authors:  Wen Huang; Xuwen Xia; Chen Zhu; Parker Steichen; Weidong Quan; Weiwei Mao; Jianping Yang; Liang Chu; Xing'ao Li
Journal:  Nanomicro Lett       Date:  2021-03-06
  6 in total

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