Citation: | Fang Nie, Jie Wang, Hong Fang, Shuanger Ma, Feiyang Wu, Wenbo Zhao, Shizhan Wei, Yuling Wang, Le Zhao, Shishen Yan, Chen Ge, Limei Zheng. Ultrathin SrTiO3-based oxide memristor with both drift and diffusive dynamics as versatile synaptic emulators for neuromorphic computing[J]. Materials Futures, 2023, 2(3): 035302. doi: 10.1088/2752-5724/ace3dc |
Conflict of interest
The authors declare no competing interests.
[1] |
Wang J R, Zhuge F 2019 Memristive synapses for brain-inspired computing Adv. Mater. Technol. 4 1800544 doi: 10.1002/admt.201800544
|
[2] |
Xi F B, Han Y, Liu M S, Bae J H, Tiedemann A, Grützmacher D, Zhao Q T 2021 Artificial synapses based on ferroelectric Schottky barrier field-effect transistors for neuromorphic applications ACS Appl. Mater. Interfaces 13 32005-12 doi: 10.1021/acsami.1c07505
|
[3] |
Zhang H Z, Ju X, Yew K S, Ang D S 2020 Implementation of simple but powerful trilayer oxide-based artificial synapses with a tailored bio-synapse-like structure ACS Appl. Mater. Interfaces 12 1036-45 doi: 10.1021/acsami.9b17026
|
[4] |
Pereda A E 2014 Electrical synapses and their functional interactions with chemical synapses Nat. Rev. Neurosci. 15 250-63 doi: 10.1038/nrn3708
|
[5] |
Chang T, Jo S H, Lu W 2011 Short-term memory to long-term memory transition in a nanoscale memristor ACS Nano 5 7669-76 doi: 10.1021/nn202983n
|
[6] |
Yang S T, et al 2022 High-performance neuromorphic computing based on ferroelectric synapses with excellent conductance linearity and symmetry Adv. Funct. Mater. 32 2202366 doi: 10.1002/adfm.202202366
|
[7] |
Kuzum D, Jeyasingh R G D, Lee B, Wong H S P 2012 Nanoelectronic programmable synapses based on phase change materials for brain-inspired computing Nano Lett. 12 2179-86 doi: 10.1021/nl201040y
|
[8] |
Sokolov A S, Jeon Y R, Kim S, Ku B, Choi C 2019 Bio-realistic synaptic characteristics in the cone-shaped ZnO memristive device NPG Asia Mater. 11 1-15 doi: 10.1038/s41427-018-0105-7
|
[9] |
Ohno T, Hasegawa T, Tsuruoka T, Terabe K, Gimzewski J K, Aono M 2011 Short-term plasticity and long-term potentiation mimicked in single inorganic synapses Nat. Mater. 10 591-5 doi: 10.1038/nmat3054
|
[10] |
Nayak A, Ohno T, Tsuruoka T, Terabe K, Hasegawa T, Gimzewski J K, Aono M 2012 Controlling the synaptic plasticity of a Cu2S gap-type atomic switch Adv. Funct. Mater. 22 3606-13 doi: 10.1002/adfm.201200640
|
[11] |
Li J K, Ge C, Du J Y, Wang C, Yang G Z, Jin K J 2020 Reproducible ultrathin ferroelectric domain switching for high-performance neuromorphic computing Adv. Mater. 32 1905764 doi: 10.1002/adma.201905764
|
[12] |
Yang Y, Wen J, Guo L Q, Wan X, Du P F, Feng P, Shi Y, Wan Q 2016 Long-term synaptic plasticity emulated in modified graphene oxide electrolyte gated IZO-based thin-film transistors ACS Appl. Mater. Interfaces 8 30281-6 doi: 10.1021/acsami.6b08515
|
[13] |
John R A, et al 2022 Reconfigurable halide perovskite nanocrystal memristors for neuromorphic computing Nat. Commun. 13 2074 doi: 10.1038/s41467-022-29727-1
|
[14] |
Wang Z R, et al 2017 Memristors with diffusive dynamics as synaptic emulators for neuromorphic computing Nat. Mater. 16 101-8 doi: 10.1038/nmat4756
|
[15] |
Midya R, et al 2019 Artificial neural network (ANN) to spiking neural network (SNN) converters based on diffusive memristors Adv. Electron. Mater. 5 1900060 doi: 10.1002/aelm.201900060
|
[16] |
Li J K, Li N, Ge C, Huang H Y, Sun Y W, Gao P, He M, Wang C, Yang G Z, Jin K J 2019 Giant electroresistance in ferroionic tunnel junctions iScience 16 368-77 doi: 10.1016/j.isci.2019.05.043
|
[17] |
Yang R, Huang H M, Guo X 2019 Memristive synapses and neurons for bioinspired computing Adv. Electron. Mater. 5 1900287 doi: 10.1002/aelm.201900287
|
[18] |
Liu G, Wang C, Zhang W B, Pan L, Zhang C C, Yang X, Fan F, Chen Y, Li R W 2016 Organic biomimicking memristor for information storage and processing applications Adv. Electron. Mater. 2 1500298 doi: 10.1002/aelm.201500298
|
[19] |
Yang J T, Ge C, Du J Y, Huang H Y, He M, Wang C, Lu H B, Yang G Z, Jin K J 2018 Artificial synapses emulated by an electrolyte-gated tungsten-oxide transistor Adv. Mater. 30 1801548 doi: 10.1002/adma.201801548
|
[20] |
Liu Y H, Zhu L Q, Feng P, Shi Y, Wan Q 2015 Freestanding artificial synapses based on laterally proton-coupled transistors on chitosan membranes Adv. Mater. 27 5599-604 doi: 10.1002/adma.201502719
|
[21] |
Shen Z H, Li W H, Tang X G, Hu J, Wang K Y, Jiang Y P, Guo X B 2022 An artificial synapse based on Sr(Ti, Co)O3 films Mater. Today Commun. 33 104754 doi: 10.1016/j.mtcomm.2022.104754
|
[22] |
Ren Z Y, Zhu L Q, Guo Y B, Long T Y, Yu F, Xiao H, Lu H L 2020 Threshold tunable spike rate dependent plasticity originated from interfacial proton gating for pattern learning and memory ACS Appl. Mater. Interfaces 12 7833-9 doi: 10.1021/acsami.9b22369
|
[23] |
Yin L, Huang W, Xiao R L, Peng W B, Zhu Y Y, Zhang Y Q, Pi X D, Yang D 2020 Optically stimulated synaptic devices based on the hybrid structure of silicon nanomembrane and perovskite Nano Lett. 20 3378-87 doi: 10.1021/acs.nanolett.0c00298
|
[24] |
Zhao L, et al 2020 An artificial optoelectronic synapse based on a photoelectric memcapacitor Adv. Electron. Mater. 6 1900858 doi: 10.1002/aelm.201900858
|
[25] |
Lao J, Xu W, Jiang C L, Zhong N, Tian B B, Lin H C, Luo C H, Sejdic J T, Peng H, Duan C G 2021 Artificial synapse based on organic-inorganic hybrid perovskite with electric and optical modulation Adv. Electron. Mater. 7 2100291 doi: 10.1002/aelm.202100291
|
mface3dcsupp1.docx |