Optical synaptic devices with ultra-low power consumption for neuromorphic computing

Chenguang Zhu; Huawei Liu; Wenqiang Wang; Li Xiang; Jie Jiang; Qin Shuai; Xin Yang; Tian Zhang; Biyuan Zheng; Hui Wang; Dong Li; Anlian Pan

doi:10.1038/s41377-022-01031-z

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Optical synaptic devices with ultra-low power consumption for neuromorphic computing

Original Articles

- Optical synaptic devices with ultra-low power consumption for neuromorphic computing
- Light: Science & Applications Vol. 11, Issue 12, Pages: 3008-3017(2022)
- Affiliations：
  
  1.Key Laboratory for Micro-Nano Physics and Technology of Hunan Province, State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Materials Science and Engineering, Hunan University, 410082, Changsha, China
  2.Hunan Institute of Optoelectronic Integration, Hunan University, 410082, Changsha, China
  3.School of Physics and Electronics, Central South University, 410083, Changsha, China
- Author bio：
  
  Li Xiang (xiangli93@hnu.edu.cn)
  Dong Li (liidong@hnu.edu.cn)
  Anlian Pan (anlian.pan@hnu.edu.cn)
- Funds：
- DOI：10.1038/s41377-022-01031-z
  CLC：
- Published：31 December 2022，
  
  Published Online：29 November 2022，
  
  Received：20 July 2022，
  
  Revised：31 October 2022，
  
  Accepted：01 November 2022
- Accepted：
Scan QR Code
Zhu, C. G. et al. Optical synaptic devices with ultra-low power consumption for neuromorphic computing. Light: Science & Applications, 11, 3008-3017 (2022).
DOI：

Zhu, C. G. et al. Optical synaptic devices with ultra-low power consumption for neuromorphic computing. Light: Science & Applications, 11, 3008-3017 (2022). DOI： 10.1038/s41377-022-01031-z.

摘要

Abstract

Brain-inspired neuromorphic computing

featured by parallel computing

is considered as one of the most energy-efficient and time-saving architectures for massive data computing. However

photonic synapse

one of the key components

is still suffering high power consumption

potentially limiting its applications in artificial neural system. In this study

we present a BP/CdS heterostructure-based artificial photonic synapse with ultra-low power consumption. The device shows remarkable negative light response with maximum responsivity up to 4.1 × 10

A W

−1

= 0.5 V and light power intensity of 0.16 μW cm

−2

(1.78 × 10

A W

−1

on average)

which further enables artificial synaptic applications with average power consumption as low as 4.78 fJ for each training process

representing the lowest among the reported results. Finally

a fully-connected optoelectronic neural network (FONN) is simulated with maximum image recognition accuracy up to 94.1%. This study provides new concept towards the designing of energy-efficient artificial photonic synapse and shows great potential in high-performance neuromorphic vision systems.

关键词

Keywords

references

M. Hutson . AI glossary: artificial intelligence, in so many words . Science , 2017 . 357 19 DOI:10.1126/science.357.6346.19http://doi.org/10.1126/science.357.6346.19 .

E. Gibney . Google AI algorithm masters ancient game of Go . Nature , 2016 . 529 445 -446 . DOI:10.1038/529445ahttp://doi.org/10.1038/529445a .

N. Brown , T. Sandholm . Superhuman AI for multiplayer poker . Science , 2019 . 365 885 -890 . DOI:10.1126/science.aay2400http://doi.org/10.1126/science.aay2400 .

F. C. Zhou , Y. Chai . Near-sensor and in-sensor computing . Nat. Electron. , 2020 . 3 664 -671 . DOI:10.1038/s41928-020-00501-9http://doi.org/10.1038/s41928-020-00501-9 .

Y. van de Burgt , 等 . A non-volatile organic electrochemical device as a low-voltage artificial synapse for neuromorphic computing . Nat. Mater. , 2017 . 16 414 -418 . DOI:10.1038/nmat4856http://doi.org/10.1038/nmat4856 .

J. R. Yu , 等 . Contact-electrification-activated artificial afferents at femtojoule energy . Nat. Commun. , 2021 . 12 1581 DOI:10.1038/s41467-021-21890-1http://doi.org/10.1038/s41467-021-21890-1 .

L. F. Abbott , W. G. Regehr . Synaptic computation . Nature , 2004 . 431 796 -803 . DOI:10.1038/nature03010http://doi.org/10.1038/nature03010 .

V. M. Ho , J. A. Lee , K. C. Martin . The cell biology of synaptic plasticity . Science , 2011 . 334 623 -628 . DOI:10.1126/science.1209236http://doi.org/10.1126/science.1209236 .

W. T. Xu , 等 . Organic core-sheath nanowire artificial synapses with femtojoule energy consumption . Sci. Adv. , 2016 . 2 e1501326 DOI:10.1126/sciadv.1501326http://doi.org/10.1126/sciadv.1501326 .

H. L. Wang , 等 . A ferroelectric/electrochemical modulated organic synapse for ultraflexible, artificial visual-perception system . Adv. Mater. , 2018 . 30 1803961 DOI:10.1002/adma.201803961http://doi.org/10.1002/adma.201803961 .

W. Deng , 等 . Organic molecular crystal-based photosynaptic devices for an artificial visual-perception system . NPG Asia Mater. , 2019 . 11 77 DOI:10.1038/s41427-019-0182-2http://doi.org/10.1038/s41427-019-0182-2 .

J. L. Shi , 等 . A fully solution-printed photosynaptic transistor array with ultralow energy consumption for artificial-vision neural networks . Adv. Mater. , 2022 . 34 2200380 DOI:10.1002/adma.202200380http://doi.org/10.1002/adma.202200380 .

L. L. Gu , 等 . A biomimetic eye with a hemispherical perovskite nanowire array retina . Nature , 2020 . 581 278 -282 . DOI:10.1038/s41586-020-2285-xhttp://doi.org/10.1038/s41586-020-2285-x .

Q. B. Zhu , 等 . A flexible ultrasensitive optoelectronic sensor array for neuromorphic vision systems . Nat. Commun. , 2021 . 12 1798 DOI:10.1038/s41467-021-22047-whttp://doi.org/10.1038/s41467-021-22047-w .

J. R. Yu , 等 . Bioinspired mechano-photonic artificial synapse based on graphene/MoS2 heterostructure . Sci. Adv. , 2021 . 7 eabd9117 DOI:10.1126/sciadv.abd9117http://doi.org/10.1126/sciadv.abd9117 .

S. Seo , 等 . An optogenetics-inspired flexible van der Waals optoelectronic synapse and its application to a convolutional neural network . Adv. Mater. , 2021 . 33 2102980 DOI:10.1002/adma.202102980http://doi.org/10.1002/adma.202102980 .

M. Prezioso , 等 . Training and operation of an integrated neuromorphic network based on metal-oxide memristors . Nature , 2015 . 521 61 -64 . DOI:10.1038/nature14441http://doi.org/10.1038/nature14441 .

D. Ham , 等 . Neuromorphic electronics based on copying and pasting the brain . Nat. Electron. , 2021 . 4 635 -644 . DOI:10.1038/s41928-021-00646-1http://doi.org/10.1038/s41928-021-00646-1 .

F. C. Zhou , 等 . Optoelectronic resistive random access memory for neuromorphic vision sensors . Nat. Nanotechnol. , 2019 . 14 776 -782 . DOI:10.1038/s41565-019-0501-3http://doi.org/10.1038/s41565-019-0501-3 .

R. A. John , 等 . Optogenetics inspired transition metal dichalcogenide neuristors for in-memory deep recurrent neural networks . Nat. Commun. , 2020 . 11 3211 DOI:10.1038/s41467-020-16985-0http://doi.org/10.1038/s41467-020-16985-0 .

T. Ahmed , 等 . Fully light-controlled memory and neuromorphic computation in layered black phosphorus . Adv. Mater. , 2021 . 33 2004207 DOI:10.1002/adma.202004207http://doi.org/10.1002/adma.202004207 .

Y. X. Hu , 等 . Ultralow power optical synapses based on MoS2 layers by indium-induced surface charge doping for biomimetic eyes . Adv. Mater. , 2021 . 33 2104960 DOI:10.1002/adma.202104960http://doi.org/10.1002/adma.202104960 .

D. Li , 等 . Light-triggered two-dimensional lateral homogeneous p-n diodes for opto-electrical interconnection circuits . Sci. Bull. , 2020 . 65 293 -299 . DOI:10.1016/j.scib.2019.12.018http://doi.org/10.1016/j.scib.2019.12.018 .

O. Lopez-Sanchez , 等 . Ultrasensitive photodetectors based on monolayer MoS2 . Nat. Nanotechnol. , 2013 . 8 497 -501 . DOI:10.1038/nnano.2013.100http://doi.org/10.1038/nnano.2013.100 .

D. Kufer , G. Konstantatos . Highly sensitive, encapsulated MoS2 photodetector with gate controllable gain and speed . Nano Lett. , 2015 . 15 7307 -7313 . DOI:10.1021/acs.nanolett.5b02559http://doi.org/10.1021/acs.nanolett.5b02559 .

L. Q. Tu , 等 . Ultrasensitive negative capacitance phototransistors . Nat. Commun. , 2020 . 11 101 DOI:10.1038/s41467-019-13769-zhttp://doi.org/10.1038/s41467-019-13769-z .

D. Kufer , 等 . Hybrid 2D-0D MoS2-PbS quantum dot photodetectors . Adv. Mater. , 2015 . 27 176 -180 . DOI:10.1002/adma.201402471http://doi.org/10.1002/adma.201402471 .

Q. S. Wang , 等 . Nonvolatile infrared memory in MoS2/PbS van der Waals heterostructures . Sci. Adv. , 2018 . 4 eaap7916 DOI:10.1126/sciadv.aap7916http://doi.org/10.1126/sciadv.aap7916 .

C. Hu , 等 . Synergistic effect of hybrid PbS quantum dots/2D-WSe2 toward high performance and broadband phototransistors . Adv. Funct. Mater. , 2017 . 27 1603605 DOI:10.1002/adfm.201603605http://doi.org/10.1002/adfm.201603605 .

D. Xiang , 等 . Two-dimensional multibit optoelectronic memory with broadband spectrum distinction . Nat. Commun. , 2018 . 9 2966 DOI:10.1038/s41467-018-05397-whttp://doi.org/10.1038/s41467-018-05397-w .

H. L. Wu , 等 . All-inorganic perovskite quantum dot-monolayer MoS2 mixed-dimensional van der Waals heterostructure for ultrasensitive photodetector . Adv. Sci. , 2018 . 5 1801219 DOI:10.1002/advs.201801219http://doi.org/10.1002/advs.201801219 .

H. W. Liu , 等 . Self-powered broad-band photodetectors based on vertically stacked WSe2/Bi2Te3 p-n heterojunctions . ACS Nano , 2019 . 13 13573 -13580 . DOI:10.1021/acsnano.9b07563http://doi.org/10.1021/acsnano.9b07563 .

H. W. Liu , 等 . Polar-induced selective epitaxial growth of multijunction nanoribbons for high-performance optoelectronics . ACS Appl. Mater. Interfaces , 2019 . 11 15813 -15820 . DOI:10.1021/acsami.9b04470http://doi.org/10.1021/acsami.9b04470 .

Z. Liu , 等 . Photoresponsive transistors based on lead-free perovskite and carbon nanotubes . Adv. Funct. Mater. , 2020 . 30 1906335 DOI:10.1002/adfm.201906335http://doi.org/10.1002/adfm.201906335 .

D. H. Kang , 等 . High-performance transition metal dichalcogenide photodetectors enhanced by self-assembled monolayer doping . Adv. Funct. Mater. , 2015 . 25 4219 -4227 . DOI:10.1002/adfm.201501170http://doi.org/10.1002/adfm.201501170 .

Y. T. Chen , 等 . High-performance inorganic perovskite quantum dot-organic semiconductor hybrid phototransistors . Adv. Mater. , 2017 . 29 1704062 DOI:10.1002/adma.201704062http://doi.org/10.1002/adma.201704062 .

T. F. Yang , 等 . Ultrahigh-performance optoelectronics demonstrated in ultrathin perovskite-based vertical semiconductor heterostructures . ACS Nano , 2019 . 13 7996 -8003 . DOI:10.1021/acsnano.9b02676http://doi.org/10.1021/acsnano.9b02676 .

S. Kim , 等 . Pattern recognition using carbon nanotube synaptic transistors with an adjustable weight update protocol . ACS Nano , 2017 . 11 2814 -2822 . DOI:10.1021/acsnano.6b07894http://doi.org/10.1021/acsnano.6b07894 .

J. Y. Du , 等 . A robust neuromorphic vision sensor with optical control of ferroelectric switching . Nano Energy , 2021 . 89 106439 DOI:10.1016/j.nanoen.2021.106439http://doi.org/10.1016/j.nanoen.2021.106439 .

J. Lee , 等 . Monolayer optical memory cells based on artificial trap-mediated charge storage and release . Nat. Commun. , 2017 . 8 14734 DOI:10.1038/ncomms14734http://doi.org/10.1038/ncomms14734 .

S. Y. Wang , 等 . A MoS2/PTCDA hybrid heterojunction synapse with efficient photoelectric dual modulation and versatility . Adv. Mater. , 2019 . 31 1806227 DOI:10.1002/adma.201806227http://doi.org/10.1002/adma.201806227 .

M. Lee , 等 . Accelerated learning in wide-band-gap ALN artificial photonic synaptic devices: impact on suppressed shallow trap level . Nano Lett. , 2021 . 21 7879 -7886 . DOI:10.1021/acs.nanolett.1c01885http://doi.org/10.1021/acs.nanolett.1c01885 .

S. M. Kwon , 等 . Large-area pixelized optoelectronic neuromorphic devices with multispectral light-modulated bidirectional synaptic circuits . Adv. Mater. , 2021 . 33 2105017 DOI:10.1002/adma.202105017http://doi.org/10.1002/adma.202105017 .

C. Qian , 等 . Solar-stimulated optoelectronic synapse based on organic heterojunction with linearly potentiated synaptic weight for neuromorphic computing . Nano Energy , 2019 . 66 104095 DOI:10.1016/j.nanoen.2019.104095http://doi.org/10.1016/j.nanoen.2019.104095 .

D. Li , 等 . Two-dimensional non-volatile programmable p-n junctions . Nat. Nanotechnol. , 2017 . 12 901 -906 . DOI:10.1038/nnano.2017.104http://doi.org/10.1038/nnano.2017.104 .

D. Li , 等 . Nonvolatile floating-gate memories based on stacked black phosphorus-boron nitride-MoS2 heterostructures . Adv. Funct. Mater. , 2015 . 25 7360 -7365 . DOI:10.1002/adfm.201503645http://doi.org/10.1002/adfm.201503645 .

Chen, P. Y., Peng, X. C. & Yu, S. M. NeuroSim+: an integrated device-to-algorithm framework for benchmarking synaptic devices and array architectures. In: Proc. 2017 IEEE International Electron Devices Meeting (IEDM) (6.1.1-6.1.4) (IEEE, San Francisco, CA, USA, 2017).

S. Choi , 等 . SiGe epitaxial memory for neuromorphic computing with reproducible high performance based on engineered dislocations . Nat. Mater. , 2018 . 17 335 -340 . DOI:10.1038/s41563-017-0001-5http://doi.org/10.1038/s41563-017-0001-5 .

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