All-Solid-State Synaptic Transistor with Ultralow Conductance for Neuromorphic Computing

Yang, Chuan-Sen; Shang, Da-Shan; Liu, Nan; Fuller, Elliot J.; Agrawal, Sapan; Talin, Albert Alec; Li, Yong-Qing; Shen, Bao-Gen; Sun, Young

doi:10.1002/adfm.201804170

Title: All-Solid-State Synaptic Transistor with Ultralow Conductance for Neuromorphic Computing

Journal Article · Wed Sep 05 00:00:00 EDT 2018 · Advanced Functional Materials

DOI:https://doi.org/10.1002/adfm.201804170· OSTI ID:1472248

Yang, Chuan-Sen ^[1];

^[1]; Liu, Nan ^[1]; Fuller, Elliot J. ^[2]; Agrawal, Sapan ^[2]; Talin, Albert Alec ^[2]; Li, Yong-Qing ^[1]; Shen, Bao-Gen ^[1]; Sun, Young ^[1]

Chinese Academy of Sciences (CAS), Beijing (China). Inst. of Physics. Beijing National Lab. for Condensed Matter Physics (BNLCP-CAS)
Sandia National Lab. (SNL-CA), Livermore, CA (United States)

Electronic synaptic devices are important building blocks for neuromorphic computational systems that can go beyond the constraints of von Neumann architecture. Although two-terminal memristive devices are demonstrated to be possible candidates, they suffer from several shortcomings related to the filament formation mechanism including nonlinear switching, write noise, and high device conductance, all of which limit the accuracy and energy efficiency. Electrochemical three-terminal transistors, in which the channel conductance can be tuned without filament formation provide an alternative platform for synaptic electronics. In this work, an all-solid-state electrochemical transistor made with Li ion–based solid dielectric and 2D α-phase molybdenum oxide (α-MoO₃) nanosheets as the channel is demonstrated. These devices achieve nonvolatile conductance modulation in an ultralow conductance regime (<75 nS) by reversible intercalation of Li ions into the α-MoO₃ lattice. Based on this operating mechanism, the essential functionalities of synapses, such as short- and long-term synaptic plasticity and bidirectional near-linear analog weight update are demonstrated. Simulations using the handwritten digit data sets demonstrate high recognition accuracy (94.1%) of the synaptic transistor arrays. These results provide an insight into the application of 2D oxides for large-scale, energy-efficient neuromorphic computing networks.

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Research Organization:: Energy Frontier Research Centers (EFRC) (United States). Nanostructures for Electrical Energy Storage (NEES); Sandia National Lab. (SNL-CA), Livermore, CA (United States)

Sponsoring Organization:: USDOE National Nuclear Security Administration (NNSA); USDOE Office of Science (SC), Basic Energy Sciences (BES); National Nature Science Foundation of China (NSFC); National Key Research Program of China; Chinese Academy of Sciences (CAS); Univ. of Maryland, College Park, MD (United States). Nanostructures for Electrical Energy Storage (NEES)

Grant/Contract Number:: AC04-94AL85000; 61874138; 51671213; 11534015; 51725104; 2016YFA0300701; XDB07030200; P2018‐004; SC0001160; NA0003525; NA‐0003525

OSTI ID:: 1472248

Alternate ID(s):: OSTI ID: 1468672

Report Number(s):: SAND-2018-9254J; 667286

Journal Information:: Advanced Functional Materials, Vol. 28, Issue 42; ISSN 1616-301X

Publisher:: WileyCopyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 265 works

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References (59)

3D Ta/TaO _x /TiO ₂ /Ti synaptic array and linearity tuning of weight update for hardware neural network applications Wang, I-Ting; Chang, Chih-Cheng; Chiu, Li-Wen Nanotechnology, Vol. 27, Issue 36 https://doi.org/10.1088/0957-4484/27/36/365204	journal	August 2016
Anatomy of a Nanoscale Conduction Channel Reveals the Mechanism of a High-Performance Memristor Miao, Feng; Strachan, John Paul; Yang, J. Joshua Advanced Materials, Vol. 23, Issue 47, p. 5633-5640 https://doi.org/10.1002/adma.201103379	journal	November 2011
A million spiking-neuron integrated circuit with a scalable communication network and interface Merolla, P. A.; Arthur, J. V.; Alvarez-Icaza, R. Science, Vol. 345, Issue 6197 https://doi.org/10.1126/science.1254642	journal	August 2014
Neuromorphic Functions in PEDOT:PSS Organic Electrochemical Transistors Gkoupidenis, Paschalis; Schaefer, Nathan; Garlan, Benjamin Advanced Materials, Vol. 27, Issue 44 https://doi.org/10.1002/adma.201503674	journal	October 2015
A Synaptic Transistor based on Quasi-2D Molybdenum Oxide Yang, Chuan Sen; Shang, Da Shan; Liu, Nan Advanced Materials, Vol. 29, Issue 27 https://doi.org/10.1002/adma.201700906	journal	May 2017
A correlated nickelate synaptic transistor Shi, Jian; Ha, Sieu D.; Zhou, You Nature Communications, Vol. 4, Issue 1 https://doi.org/10.1038/ncomms3676	journal	October 2013
Mitigating effects of non-ideal synaptic device characteristics for on-chip learning Chen, Pai-Yu; Lin, Binbin; Wang, I-Ting 2015 IEEE/ACM International Conference on Computer-Aided Design (ICCAD) https://doi.org/10.1109/ICCAD.2015.7372570	conference	November 2015
A non-volatile organic electrochemical device as a low-voltage artificial synapse for neuromorphic computing van de Burgt, Yoeri; Lubberman, Ewout; Fuller, Elliot J. Nature Materials, Vol. 16, Issue 4 https://doi.org/10.1038/nmat4856	journal	February 2017
Short-term and long-term plasticity at corticostriatal synapses: Implications for learning and memory Di Filippo, Massimiliano; Picconi, Barbara; Tantucci, Michela Behavioural Brain Research, Vol. 199, Issue 1 https://doi.org/10.1016/j.bbr.2008.09.025	journal	April 2009
Understanding the conductive channel evolution in Na:WO _3−x -based planar devices Shang, Dashan; Li, Peining; Wang, Tao Nanoscale, Vol. 7, Issue 14 https://doi.org/10.1039/C4NR07545E	journal	January 2015
Organic core-sheath nanowire artificial synapses with femtojoule energy consumption Xu, Wentao; Min, Sung-Yong; Hwang, Hyunsang Science Advances, Vol. 2, Issue 6 https://doi.org/10.1126/sciadv.1501326	journal	June 2016
Hydrogenation-Induced Surface Polarity Recognition and Proton Memory Behavior at Protic-Ionic-Liquid/Oxide Electric-Double-Layer Interfaces Yuan, Hongtao; Shimotani, Hidekazu; Tsukazaki, Atsushi Journal of the American Chemical Society, Vol. 132, Issue 19 https://doi.org/10.1021/ja909110s	journal	May 2010
SiGe epitaxial memory for neuromorphic computing with reproducible high performance based on engineered dislocations Choi, Shinhyun; Tan, Scott H.; Li, Zefan Nature Materials, Vol. 17, Issue 4 https://doi.org/10.1038/s41563-017-0001-5	journal	January 2018
Moisture effects on the electrochemical reaction and resistance switching at Ag/molybdenum oxide interfaces Yang, Chuan-Sen; Shang, Da-Shan; Chai, Yi-Sheng Physical Chemistry Chemical Physics, Vol. 18, Issue 18 https://doi.org/10.1039/C6CP00823B	journal	January 2016
Properties of excitatory postsynaptic currents recorded in vitro from rat hippocampal interneurones. Sah, P.; Hestrin, S.; Nicoll, R. A. The Journal of Physiology, Vol. 430, Issue 1 https://doi.org/10.1113/jphysiol.1990.sp018310	journal	November 1990
Artificial synapse network on inorganic proton conductor for neuromorphic systems Zhu, Li Qiang; Wan, Chang Jin; Guo, Li Qiang Nature Communications, Vol. 5, Issue 1 https://doi.org/10.1038/ncomms4158	journal	January 2014
Neuromorphic electronic systems Mead, C. Proceedings of the IEEE, Vol. 78, Issue 10 https://doi.org/10.1109/5.58356	journal	January 1990
Memristive devices for computing Yang, J. Joshua; Strukov, Dmitri B.; Stewart, Duncan R. Nature Nanotechnology, Vol. 8, Issue 1, p. 13-24 https://doi.org/10.1038/nnano.2012.240	journal	January 2013
Short-term plasticity and long-term potentiation mimicked in single inorganic synapses Ohno, Takeo; Hasegawa, Tsuyoshi; Tsuruoka, Tohru Nature Materials, Vol. 10, Issue 8 https://doi.org/10.1038/nmat3054	journal	June 2011
A silicon neuron Mahowald, Misha; Douglas, Rodney Nature, Vol. 354, Issue 6354 https://doi.org/10.1038/354515a0	journal	December 1991
Synaptic Suppression Triplet-STDP Learning Rule Realized in Second-Order Memristors Yang, Rui; Huang, He-Ming; Hong, Qing-Hui Advanced Functional Materials, Vol. 28, Issue 5 https://doi.org/10.1002/adfm.201704455	journal	December 2017
A Low Energy Oxide-Based Electronic Synaptic Device for Neuromorphic Visual Systems with Tolerance to Device Variation Yu, Shimeng; Gao, Bin; Fang, Zheng Advanced Materials, Vol. 25, Issue 12 https://doi.org/10.1002/adma.201203680	journal	January 2013
Electrochemical-reaction-induced synaptic plasticity in MoO _x -based solid state electrochemical cells Yang, Chuan-Sen; Shang, Da-Shan; Chai, Yi-Sheng Physical Chemistry Chemical Physics, Vol. 19, Issue 6 https://doi.org/10.1039/C6CP06004H	journal	January 2017
Nanoionics-Based Three-Terminal Synaptic Device Using Zinc Oxide Balakrishna Pillai, Premlal; De Souza, Maria Merlyne ACS Applied Materials & Interfaces, Vol. 9, Issue 2 https://doi.org/10.1021/acsami.6b13746	journal	January 2017
Substitutional studies on the anisotropic, semiconducting, molybdenum bronze, Li0.33MoO3 Collins, B. T.; Ramanujachary, K. V.; Greenblatt, M. Journal of Solid State Chemistry, Vol. 76, Issue 2 https://doi.org/10.1016/0022-4596(88)90225-3	journal	October 1988
Synaptic Learning and Memory Functions Achieved Using Oxygen Ion Migration/Diffusion in an Amorphous InGaZnO Memristor Wang, Zhong Qiang; Xu, Hai Yang; Li, Xing Hua Advanced Functional Materials, Vol. 22, Issue 13 https://doi.org/10.1002/adfm.201103148	journal	April 2012
Li-Ion Synaptic Transistor for Low Power Analog Computing Fuller, Elliot J.; Gabaly, Farid El; Léonard, François Advanced Materials, Vol. 29, Issue 4 https://doi.org/10.1002/adma.201604310	journal	November 2016
High-Performance Field Effect Transistors Using Electronic Inks of 2D Molybdenum Oxide Nanoflakes Alsaif, Manal M. Y. A.; Chrimes, Adam F.; Daeneke, Torben Advanced Functional Materials, Vol. 26, Issue 1 https://doi.org/10.1002/adfm.201503698	journal	November 2015
The future of electronics based on memristive systems Zidan, Mohammed A.; Strachan, John Paul; Lu, Wei D. Nature Electronics, Vol. 1, Issue 1 https://doi.org/10.1038/s41928-017-0006-8	journal	January 2018
Short-Term Synaptic Plasticity Zucker, Robert S.; Regehr, Wade G. Annual Review of Physiology, Vol. 64, Issue 1 https://doi.org/10.1146/annurev.physiol.64.092501.114547	journal	March 2002
In situ investigation of the channel conductance of a Li _1−x CoO ₂ (0 < x < 0.5) ionic-electronic transistor Greenlee, Jordan D.; Petersburg, Cole F.; Daly, William G. Applied Physics Letters, Vol. 102, Issue 21 https://doi.org/10.1063/1.4807424	journal	May 2013
Synaptic Metaplasticity Realized in Oxide Memristive Devices Tan, Zheng-Hua; Yang, Rui; Terabe, Kazuya Advanced Materials, Vol. 28, Issue 2 https://doi.org/10.1002/adma.201503575	journal	November 2015
Training and operation of an integrated neuromorphic network based on metal-oxide memristors Prezioso, M.; Merrikh-Bayat, F.; Hoskins, B. D. Nature, Vol. 521, Issue 7550 https://doi.org/10.1038/nature14441	journal	May 2015
MoO _{3– x} Nanowire Arrays As Stable and High-Capacity Anodes for Lithium Ion Batteries Meduri, Praveen; Clark, Ezra; Kim, Jeong H. Nano Letters, Vol. 12, Issue 4 https://doi.org/10.1021/nl203649p	journal	January 2012
A Carbon Nanotube Synapse with Dynamic Logic and Learning Kim, Kyunghyun; Chen, Chia-Ling; Truong, Quyen Advanced Materials, Vol. 25, Issue 12 https://doi.org/10.1002/adma.201203116	journal	December 2012
Can programming be liberated from the von Neumann style?: a functional style and its algebra of programs Backus, John Communications of the ACM, Vol. 21, Issue 8 https://doi.org/10.1145/359576.359579	journal	August 1978
Quantized conductance atomic switch Terabe, K.; Hasegawa, T.; Nakayama, T. Nature, Vol. 433, Issue 7021 https://doi.org/10.1038/nature03190	journal	January 2005
Electrochemical dynamics of nanoscale metallic inclusions in dielectrics Yang, Yuchao; Gao, Peng; Li, Linze Nature Communications, Vol. 5, Article No. 4232 https://doi.org/10.1038/ncomms5232	journal	June 2014
Experimental Demonstration and Tolerancing of a Large-Scale Neural Network (165 000 Synapses) Using Phase-Change Memory as the Synaptic Weight Element Burr, Geoffrey W.; Shelby, Robert M.; Sidler, Severin IEEE Transactions on Electron Devices, Vol. 62, Issue 11 https://doi.org/10.1109/TED.2015.2439635	journal	November 2015
Synaptic electronics: materials, devices and applications Kuzum, Duygu; Yu, Shimeng; Philip Wong, H-S Nanotechnology, Vol. 24, Issue 38 https://doi.org/10.1088/0957-4484/24/38/382001	journal	September 2013
Ionic conductivity in polyethylene-b-poly(ethylene oxide)/lithium perchlorate solid polymer electrolytes Guilherme, L. A.; Borges, R. S.; Moraes, E. Mara S. Electrochimica Acta, Vol. 53, Issue 4 https://doi.org/10.1016/j.electacta.2007.04.016	journal	December 2007
Memory and Information Processing in Neuromorphic Systems Indiveri, Giacomo; Liu, Shih-Chii Proceedings of the IEEE, Vol. 103, Issue 8 https://doi.org/10.1109/JPROC.2015.2444094	journal	August 2015
Memristors with diffusive dynamics as synaptic emulators for neuromorphic computing Wang, Zhongrui; Joshi, Saumil; Savel’ev, Sergey E. Nature Materials, Vol. 16, Issue 1 https://doi.org/10.1038/nmat4756	journal	September 2016
Synaptic Modifications in Cultured Hippocampal Neurons: Dependence on Spike Timing, Synaptic Strength, and Postsynaptic Cell Type Bi, Guo-qiang; Poo, Mu-ming The Journal of Neuroscience, Vol. 18, Issue 24 https://doi.org/10.1523/JNEUROSCI.18-24-10464.1998	journal	December 1998
Reversible Chemochromic MoO ₃ Nanoribbons through Zerovalent Metal Intercalation Wang, Mengjing; Koski, Kristie J. ACS Nano, Vol. 9, Issue 3 https://doi.org/10.1021/acsnano.5b00336	journal	February 2015
Ionic/Electronic Hybrid Materials Integrated in a Synaptic Transistor with Signal Processing and Learning Functions Lai, Qianxi; Zhang, Lei; Li, Zhiyong Advanced Materials, Vol. 22, Issue 22 https://doi.org/10.1002/adma.201000282	journal	June 2010
Face classification using electronic synapses Yao, Peng; Wu, Huaqiang; Gao, Bin Nature Communications, Vol. 8, Issue 1 https://doi.org/10.1038/ncomms15199	journal	May 2017
Determinants of the Time Course of Facilitation at the Granule Cell to Purkinje Cell Synapse Atluri, Pradeep P.; Regehr, Wade G. The Journal of Neuroscience, Vol. 16, Issue 18 https://doi.org/10.1523/JNEUROSCI.16-18-05661.1996	journal	September 1996
Gradient-based learning applied to document recognition Lecun, Y.; Bottou, L.; Bengio, Y. Proceedings of the IEEE, Vol. 86, Issue 11 https://doi.org/10.1109/5.726791	journal	January 1998
A VLSI Array of Low-Power Spiking Neurons and Bistable Synapses With Spike-Timing Dependent Plasticity Indiveri, G.; Chicca, E.; Douglas, R. IEEE Transactions on Neural Networks, Vol. 17, Issue 1 https://doi.org/10.1109/TNN.2005.860850	journal	January 2006
Optimization of Conductance Change in Pr _{1– x} Ca _x MnO ₃ -Based Synaptic Devices for Neuromorphic Systems Jang, Jun-Woo; Park, Sangsu; Burr, Geoffrey W. IEEE Electron Device Letters, Vol. 36, Issue 5 https://doi.org/10.1109/LED.2015.2418342	journal	May 2015
Ion Gated Synaptic Transistors Based on 2D van der Waals Crystals with Tunable Diffusive Dynamics Zhu, Jiadi; Yang, Yuchao; Jia, Rundong Advanced Materials, Vol. 30, Issue 21 https://doi.org/10.1002/adma.201800195	journal	April 2018
Crystal structure of Li0.33MoO3, a stoichiometric, triclinic, lithium molybdenum bronze Tsai, P. P.; Potenza, J. A.; Greenblatt, M. Journal of Solid State Chemistry, Vol. 64, Issue 1 https://doi.org/10.1016/0022-4596(86)90120-9	journal	August 1986
Equivalent-accuracy accelerated neural-network training using analogue memory Ambrogio, Stefano; Narayanan, Pritish; Tsai, Hsinyu Nature, Vol. 558, Issue 7708 https://doi.org/10.1038/s41586-018-0180-5	journal	June 2018
Understanding the conductive channel evolution in Na:WO3−x-based planar devices Shang, Dashan; Li, Peining; Wang, Tao RWTH Aachen University https://doi.org/10.18154/rwth-2015-01870	text	January 2015
The Imbalanced Plasticity Hypothesis of Schizophrenia-Related Psychosis: A Predictive Perspective Guterman, Yossi; Ataria, Yochai; Silverstein, Steven M. Cognitive, Affective, & Behavioral Neuroscience, Vol. 21, Issue 4 https://doi.org/10.3758/s13415-021-00911-y	journal	May 2021
Short-term synaptic plasticity Tsodyks, Misha; Wu, Si Scholarpedia, Vol. 8, Issue 10 https://doi.org/10.4249/scholarpedia.3153	journal	January 2013
Training and Operation of an Integrated Neuromorphic Network Based on Metal-Oxide Memristors Prezioso, Mirko; Merrikh-Bayat, Farnood; Hoskins, Brian arXiv https://doi.org/10.48550/arxiv.1412.0611	text	January 2014
Memory and information processing in neuromorphic systems Indiveri, Giacomo; Liu, Shih-Chii arXiv https://doi.org/10.48550/arxiv.1506.03264	text	January 2015

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Title: All-Solid-State Synaptic Transistor with Ultralow Conductance for Neuromorphic Computing

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