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

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

Journal Article · Wed Sep 05 04:00:00 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.

View Accepted Manuscript (DOE)

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

Sponsoring Organization:: USDOE National Nuclear Security Administration (NNSA); USDOE Office of Science (SC), Basic Energy Sciences (BES) (SC-22); 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; SC0001160; NA0003525

OSTI ID:: 1472248

Alternate ID(s):: OSTI ID: 1468672

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

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

Publisher:: WileyCopyright Statement

Country of Publication:: United States

Language:: English

References (59)

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
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
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
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
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 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
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
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
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
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
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
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
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
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
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
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
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
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
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 silicon neuron Mahowald, Misha; Douglas, Rodney Nature, Vol. 354, Issue 6354 https://doi.org/10.1038/354515a0	journal	December 1991
Quantized conductance atomic switch Terabe, K.; Hasegawa, T.; Nakayama, T. Nature, Vol. 433, Issue 7021 https://doi.org/10.1038/nature03190	journal	January 2005
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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 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
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
Neuromorphic electronic systems Mead, C. Proceedings of the IEEE, Vol. 78, Issue 10 https://doi.org/10.1109/5.58356	journal	January 1990
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
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
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
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
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
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
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
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
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
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
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
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
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
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

Cited By (29)

A bioinspired optoelectronically engineered artificial neurorobotics device with sensorimotor functionalities Karbalaei Akbari, Mohammad; Zhuiykov, Serge Nature Communications, Vol. 10, Issue 1 https://doi.org/10.1038/s41467-019-11823-4	journal	August 2019
Toward a generalized Bienenstock-Cooper-Munro rule for spatiotemporal learning via triplet-STDP in memristive devices Wang, Zhongqiang; Zeng, Tao; Ren, Yanyun Nature Communications, Vol. 11, Issue 1 https://doi.org/10.1038/s41467-020-15158-3	journal	March 2020
Near ideal synaptic functionalities in Li ion synaptic transistor using Li3POxSex electrolyte with high ionic conductivity Nikam, Revannath Dnyandeo; Kwak, Myonghoon; Lee, Jongwon Scientific Reports, Vol. 9, Issue 1 https://doi.org/10.1038/s41598-019-55310-8	journal	December 2019
Flexible, Conformal Organic Synaptic Transistors on Elastomer for Biomedical Applications Wang, Haiting; Yang, Mihua; Tang, Qingxin Advanced Functional Materials, Vol. 29, Issue 19 https://doi.org/10.1002/adfm.201901107	journal	March 2019
Recent Advances in Transistor‐Based Artificial Synapses Dai, Shilei; Zhao, Yiwei; Wang, Yan Advanced Functional Materials, Vol. 29, Issue 42 https://doi.org/10.1002/adfm.201903700	journal	August 2019
Small‐Molecule‐Based Organic Field‐Effect Transistor for Nonvolatile Memory and Artificial Synapse Yu, Yang; Ma, Qihao; Ling, Haifeng Advanced Functional Materials, Vol. 29, Issue 50 https://doi.org/10.1002/adfm.201904602	journal	September 2019
A Ferrite Synaptic Transistor with Topotactic Transformation Ge, Chen; Liu, Chang‐xiang; Zhou, Qing‐li Advanced Materials, Vol. 31, Issue 19 https://doi.org/10.1002/adma.201900379	journal	March 2019
Bridging Biological and Artificial Neural Networks with Emerging Neuromorphic Devices: Fundamentals, Progress, and Challenges Tang, Jianshi; Yuan, Fang; Shen, Xinke Advanced Materials, Vol. 31, Issue 49 https://doi.org/10.1002/adma.201902761	journal	September 2019
Environment‐Adaptable Artificial Visual Perception Behaviors Using a Light‐Adjustable Optoelectronic Neuromorphic Device Array Kwon, Sung Min; Cho, Sung Woon; Kim, Minho Advanced Materials, Vol. 31, Issue 52 https://doi.org/10.1002/adma.201906433	journal	November 2019
Emerging Memory Devices for Neuromorphic Computing Upadhyay, Navnidhi K.; Jiang, Hao; Wang, Zhongrui Advanced Materials Technologies, Vol. 4, Issue 4 https://doi.org/10.1002/admt.201800589	journal	January 2019
Memristive Synapses and Neurons for Bioinspired Computing Yang, Rui; Huang, He‐Ming; Guo, Xin Advanced Electronic Materials, Vol. 5, Issue 9 https://doi.org/10.1002/aelm.201900287	journal	November 2018
Vertically Aligned WS ₂ Layers for High‐Performing Memristors and Artificial Synapses Kumar, Mohit; Ban, Dong‐Kyun; Kim, Sang Moon Advanced Electronic Materials, Vol. 5, Issue 10 https://doi.org/10.1002/aelm.201900467	journal	July 2019
Modulation of Synaptic Plasticity Mimicked in Al Nanoparticle‐Embedded IGZO Synaptic Transistor Kim, Jeehoon; Kim, Younghun; Kwon, Ojun Advanced Electronic Materials, Vol. 6, Issue 4 https://doi.org/10.1002/aelm.201901072	journal	January 2020
Controlled Ionic Tunneling in Lithium Nanoionic Synaptic Transistor through Atomically Thin Graphene Layer for Neuromorphic Computing Nikam, Revannath Dnyandeo; Kwak, Myonghoon; Lee, Jongwon Advanced Electronic Materials, Vol. 6, Issue 2 https://doi.org/10.1002/aelm.201901100	journal	December 2019
2D Layered Materials for Memristive and Neuromorphic Applications Wang, Chen‐Yu; Wang, Cong; Meng, Fanhao Advanced Electronic Materials, Vol. 6, Issue 2 https://doi.org/10.1002/aelm.201901107	journal	December 2019
Light‐Stimulated Artificial Synapses Based on 2D Organic Field‐Effect Transistors Fang, Lu; Dai, Shilei; Zhao, Yiwei Advanced Electronic Materials, Vol. 6, Issue 1 https://doi.org/10.1002/aelm.201901217	journal	November 2019
Tunable Synaptic Plasticity in Crystallized Conjugated Polymer Nanowire Artificial Synapses Han, Hong; Xu, Zhipeng; Guo, Kexin Advanced Intelligent Systems, Vol. 2, Issue 3 https://doi.org/10.1002/aisy.201900176	journal	February 2020
Ionotronic Neuromorphic Devices for Bionic Neural Network Applications Yu, Fei; Zhu, Li Qiang physica status solidi (RRL) – Rapid Research Letters, Vol. 13, Issue 6 https://doi.org/10.1002/pssr.201800674	journal	February 2019
Overview of Resistive Random Access Memory (RRAM): Materials, Filament Mechanisms, Performance Optimization, and Prospects Wang, Hong; Yan, Xiaobing physica status solidi (RRL) – Rapid Research Letters, Vol. 13, Issue 9 https://doi.org/10.1002/pssr.201900073	journal	May 2019
Ionotronic Neuromorphic Devices for Bionic Neural Network Applications Yu, Fei; Zhu, Li Qiang physica status solidi (RRL) – Rapid Research Letters, Vol. 13, Issue 6 https://doi.org/10.1002/pssr.201970025	journal	February 2019
Controllable digital resistive switching for artificial synapses and pavlovian learning algorithm Kumar, Mohit; Abbas, Sohail; Lee, Jung-Ho Nanoscale, Vol. 11, Issue 33 https://doi.org/10.1039/c9nr02027f	journal	January 2019
Reversible uptake and release of sodium ions in layered SnS ₂ -reduced graphene oxide composites for neuromorphic devices Jang, Eun-Kyeong; Park, Youngjun; Lee, Jang-Sik Nanoscale, Vol. 11, Issue 32 https://doi.org/10.1039/c9nr03073e	journal	January 2019
(Bi _0.2 Sb _0.8 ) ₂ Te ₃ based dynamic synapses with programmable spatio-temporal dynamics Wan, Qingzhou; Zhang, Peng; Shao, Qiming APL Materials, Vol. 7, Issue 10 https://doi.org/10.1063/1.5106381	journal	October 2019
Electrolyte-gated transistors for synaptic electronics, neuromorphic computing, and adaptable biointerfacing Ling, Haifeng; Koutsouras, Dimitrios A.; Kazemzadeh, Setareh Applied Physics Reviews, Vol. 7, Issue 1 https://doi.org/10.1063/1.5122249	journal	March 2020
Recurrent neural networks made of magnetic tunnel junctions Zheng, Qi; Zhu, Xiaorui; Mi, Yuanyuan AIP Advances, Vol. 10, Issue 2 https://doi.org/10.1063/1.5143382	journal	February 2020
Poly (vinyl alcohol)/graphene oxide hybrid electrolyte gated oxide neuron transistors for multifunctional logic applications Han, Hui; Zhu, Li Qiang; Ren, Zheng Yu Journal of Physics D: Applied Physics, Vol. 53, Issue 11 https://doi.org/10.1088/1361-6463/ab5eec	journal	January 2020
A high-performance MoS ₂ synaptic device with floating gate engineering for neuromorphic computing Paul, Tathagata; Ahmed, Tanweer; Kanhaiya Tiwari, Krishna 2D Materials, Vol. 6, Issue 4 https://doi.org/10.1088/2053-1583/ab23ba	journal	July 2019
Parallel programming of an ionic floating-gate memory array for scalable neuromorphic computing Fuller, Elliot J.; Keene, Scott T.; Melianas, Armantas Science, Vol. 364, Issue 6440 https://doi.org/10.1126/science.aaw5581	journal	April 2019
Multi-Terminal Transistor-Like Devices Based on Strongly Correlated Metallic Oxides for Neuromorphic Applications Fernández-Rodríguez, Alejandro; Alcalà, Jordi; Suñe, Jordi Materials, Vol. 13, Issue 2 https://doi.org/10.3390/ma13020281	journal	January 2020

Similar Records

Memristive Ion Channel-Doped Biomembranes as Synaptic Mimics

Journal Article · Mon Mar 26 00:00:00 EDT 2018 · ACS Nano · OSTI ID:1468075

Biomimetic, Soft-Material Synapse for Neuromorphic Computing: from Device to Network

Conference · Mon Dec 31 23:00:00 EST 2018 · OSTI ID:1492161

A Twin Memristor Synapse for Spike Timing Dependent Learning in Neuromorphic Systems

Conference · Mon Dec 31 23:00:00 EST 2018 · OSTI ID:1492171

Related Subjects

75 CONDENSED MATTER PHYSICS
SUPERCONDUCTIVITY AND SUPERFLUIDITY
97 MATHEMATICS AND COMPUTING
electrochemical transistor
ion intercalation
molybdenum oxide
synaptic plasticity
synaptic transistor

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

Citation Formats

References (59)

Cited By (29)

Similar Records

Related Subjects