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Nano Research 2022, 15(6): 5435-5442 https://doi.org/10.1007/s12274-022-4132-x
Research Article | Issue | Published: 10 March 2022

Air-stable synaptic devices based on bismuth triiodide and carbon nanotubes

Show Author's Information Dandan Hao1,  Junyao Zhang1,  Li Li1,  Ben Yang1,  Pu Guo1,  Shiqi Zhang1,  Jia Huang2,1( )
Interdisciplinary Materials Research Center, School of Materials Science and Engineering, Frontiers Science Center for Intelligent Autonomous Systems, Tongji University, Shanghai 201804, China
Translational Research Institute of Brain and Brain-Like Intelligence, Shanghai Fourth People’s Hospital Affiliated to Tongji University, School of Materials Science and Engineering, Tongji University, Shanghai 200434, China
Keywords:
stability, semiconducting single-walled carbon nanotubes, bismuth triiodide, optical synaptic devices, human visual memory
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Nano device
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Hao D, Zhang J, Li L, et al. Air-stable synaptic devices based on bismuth triiodide and carbon nanotubes. Nano Research, 2022, 15(6): 5435-5442. https://doi.org/10.1007/s12274-022-4132-x
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Abstract Full text Electronic supplementary material About this article

Artificial synaptic devices with the functions of emulating important biological synaptic behaviors are playing an increasingly important role in the development of neuromorphic computing systems. Single-walled carbon nanotubes (SWCNTs) with excellent electrical properties and high stability have been studied as active materials for synaptic devices. However, the performance of optical synaptic devices (OSDs) based on pure SWCNTs is limited by the weak light absorption property. Herein, bismuth triiodide (BiI3), an environmentally stable and friendly optoelectronic material, is firstly combined with SWCNTs to fabricate OSDs with decent properties of perceiving and memorizing optical information. The OSDs can exhibit typical synaptic behaviors including excitatory postsynaptic current, paired-pulse facilitation, and short/long-term memory. Distinctively, the photo-response of the OSD is independent of pulse light wavelength in the range of 365 to 650 nm, different from most of the previously reported OSDs, which usually have wavelength-dependent photo-response. Temperature- dependent photo-response behaviors of the devices are investigated. Importantly, the OSD without encapsulation holds good excitatory post-synaptic current (EPSC) behavior after being stored in the ambient environment for 170 days, indicating reliable environmental stability. Furthermore, an OSD array with nine synaptic devices is employed to mimic the human visual perception and memory functions. These results suggest the feasibility of BiI3/SWCNTs-based OSDs for the simulation of human visual memory.


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About this article

Air-stable synaptic devices based on bismuth triiodide and carbon nanotubes

Show Author's information Dandan Hao1, Junyao Zhang1, Li Li1, Ben Yang1, Pu Guo1, Shiqi Zhang1, Jia Huang2,1( )
Interdisciplinary Materials Research Center, School of Materials Science and Engineering, Frontiers Science Center for Intelligent Autonomous Systems, Tongji University, Shanghai 201804, China
Translational Research Institute of Brain and Brain-Like Intelligence, Shanghai Fourth People’s Hospital Affiliated to Tongji University, School of Materials Science and Engineering, Tongji University, Shanghai 200434, China

Abstract

Artificial synaptic devices with the functions of emulating important biological synaptic behaviors are playing an increasingly important role in the development of neuromorphic computing systems. Single-walled carbon nanotubes (SWCNTs) with excellent electrical properties and high stability have been studied as active materials for synaptic devices. However, the performance of optical synaptic devices (OSDs) based on pure SWCNTs is limited by the weak light absorption property. Herein, bismuth triiodide (BiI3), an environmentally stable and friendly optoelectronic material, is firstly combined with SWCNTs to fabricate OSDs with decent properties of perceiving and memorizing optical information. The OSDs can exhibit typical synaptic behaviors including excitatory postsynaptic current, paired-pulse facilitation, and short/long-term memory. Distinctively, the photo-response of the OSD is independent of pulse light wavelength in the range of 365 to 650 nm, different from most of the previously reported OSDs, which usually have wavelength-dependent photo-response. Temperature- dependent photo-response behaviors of the devices are investigated. Importantly, the OSD without encapsulation holds good excitatory post-synaptic current (EPSC) behavior after being stored in the ambient environment for 170 days, indicating reliable environmental stability. Furthermore, an OSD array with nine synaptic devices is employed to mimic the human visual perception and memory functions. These results suggest the feasibility of BiI3/SWCNTs-based OSDs for the simulation of human visual memory.

Keywords: stability, semiconducting single-walled carbon nanotubes, bismuth triiodide, optical synaptic devices, human visual memory

References(60)

1

Guo, J. M.; Liu, Y. H.; Zhou, F. C.; Li, F. Z.; Li, Y. T.; Huang, F. Linear classification function emulated by pectin-based polysaccharide-gated multiterminal neuron transistors. Adv. Funct. Mater. 2021, 31, 2102015.
DOI Google Scholar
2

Zhang, J. Y.; Shi, Q. Q.; Wang, R. Z.; Zhang, X.; Li, L.; Zhang, J. H.; Tian, L.; Xiong, L. Z.; Huang, J. Spectrum-dependent photonic synapses based on 2D imine polymers for power-efficient neuromorphic computing. InfoMat 2021, 3, 904–916.
DOI Google Scholar
3

Du, C. Y.; Ren, Y. Y.; Qu, Z. Y.; Gao, L. L.; Zhai, Y. B.; Han, S. T.; Zhou, Y. Synaptic transistors and neuromorphic systems based on carbon nano-materials. Nanoscale 2021, 13, 7498–7522.
DOI Google Scholar
4

Li, J. X.; Dwivedi, P.; Kumar, K. S.; Roy, T.; Crawford, K. E.; Thomas, J. Growing perovskite quantum dots on carbon nanotubes for neuromorphic optoelectronic computing. Adv. Electron. Mater. 2021, 7, 2000535.
DOI Google Scholar
5

Chen, Y.; Qiu, W. J.; Wang, X. W.; Liu, W. R.; Wang, J. X.; Dai, G. Z.; Yuan, Y. B.; Gao, Y. L.; Sun, J. Solar-blind SnO2 nanowire photo-synapses for associative learning and coincidence detection. Nano Energy 2019, 62, 393–400.
DOI Google Scholar
6

Yang, J. T.; Ge, C.; Du, J. Y.; Huang, H. Y.; He, M.; Wang, C.; Lu, H. B.; Yang, G. Z.; Jin, K. J. Artificial synapses emulated by an electrolyte-gated tungsten-oxide transistor. Adv. Mater. 2018, 30, 1801548.
DOI Google Scholar
7

Yan, X. B.; Zhao, Q. L.; Chen, A. P.; Zhao, J. H.; Zhou, Z. Y.; Wang, J. J.; Wang, H.; Zhang, L.; Li, X. Y.; Xiao, Z. A. et al. Vacancy-induced synaptic behavior in 2D WS2 nanosheet-based memristor for low-power neuromorphic computing. Small 2019, 15, 1901423.
DOI Google Scholar
8

Wang, W. X.; Gao, S.; Li, Y.; Yue, W. J.; Kan, H.; Zhang, C. W.; Lou, Z.; Wang, L. L.; Shen, G. Z. Artificial optoelectronic synapses based on TiNxO2−x/MoS2 heterojunction for neuromorphic computing and visual system. Adv. Funct. Mater. 2021, 31, 2101201.
DOI Google Scholar
9

Yao, Y.; Huang, X. N.; Peng, S. A.; Zhang, D. Y.; Shi, J. Y.; Yu, G. H.; Liu, Q.; Jin, Z. Reconfigurable artificial synapses between excitatory and inhibitory modes based on single-gate graphene transistors. Adv. Electron. Mater. 2019, 5, 1800887.
DOI Google Scholar
10

Choi, Y.; Kim, J. H.; Qian, C.; Kang, J.; Hersam, M. C.; Park, J. H.; Cho, J. H. Gate-tunable synaptic dynamics of ferroelectric-coupled carbon-nanotube transistors. ACS Appl. Mater. Interfaces 2020, 12, 4707–4714.
DOI Google Scholar
11

Shao, L.; Wang, H. L.; Yang, Y.; He, Y. L.; Tang, Y. C.; Fang, H. H.; Zhao, J. W.; Xiao, H. S.; Liang, K.; Wei, M. et al. Optoelectronic properties of printed photogating carbon nanotube thin film transistors and their application for light-stimulated neuromorphic devices. ACS Appl. Mater. Interfaces 2019, 11, 12161–12169.
DOI Google Scholar
12

Wan, H. C.; Cao, Y. Q.; Lo, L. W.; Zhao, J. Y.; Sepúlveda, N.; Wang, C. Flexible carbon nanotube synaptic transistor for neurological electronic skin applications. ACS Nano 2020, 14, 10402–10412.
DOI Google Scholar
13

Lu, Q. F.; Sun, F. Q.; Liu, L.; Li, L. H.; Hao, M. M.; Wang, Z. H.; Zhang, T. Bio-inspired flexible artificial synapses for pain perception and nerve injuries. npj Flex. Electron. 2020, 4, 3.
DOI Google Scholar
14

Agnus, G.; Zhao, W. S.; Derycke, V.; Filoramo, A.; Lhuillier, Y.; Lenfant, S.; Vuillaume, D.; Gamrat, C.; Bourgoin, J. P. Two-terminal carbon nanotube programmable devices for adaptive architectures. Adv. Mater. 2010, 22, 702–706.
DOI Google Scholar
15

Liu, Z.; Dai, S. L.; Wang, Y.; Yang, B.; Hao, D. D.; Liu, D. P.; Zhao, Y. W.; Fang, L.; Ou, Q. Q.; Jin, S. et al. Photoresponsive transistors based on lead-free perovskite and carbon nanotubes. Adv. Funct. Mater. 2020, 30, 1906335.
DOI Google Scholar
16

Li, M.; Xiong, Z. Y.; Shao, S. S.; Shao, L.; Han, S. T.; Wang, H.; Zhao, J. W. Multimodal optoelectronic neuromorphic electronics based on lead-free perovskite-mixed carbon nanotubes. Carbon 2021, 176, 592–601.
DOI Google Scholar
17

Hao, J.; Kim, Y. H.; Habisreutinger, S. N.; Harvey, S. P.; Miller, E. M.; Foradori, S. M.; Arnold, M. S.; Song, Z. N.; Yan, Y. F.; Luther, J. M. et al. Low-energy room-temperature optical switching in mixed-dimensionality nanoscale perovskite heterojunctions. Sci. Adv. 2021, 7, eabf1959.
DOI Google Scholar
18

Qu, N. N.; Lei, Y.; Yang, X. G.; Hu, X. J.; Zhao, W. C.; Zhao, C. L.; Zheng, Z. From BiI3 to CuBiI4: A striking improvement in the photoelectric performance of a novel photodetector candidate. J. Mater. Chem. C 2020, 8, 8451–8456.
DOI Google Scholar
19

Wang, Y. X.; Shi, X. N.; Wang, G.; Tong, J. Y.; Pan, D. C. All-inorganic and lead-free BiI3 thin film solar cells by iodization of BiSI thin films. J. Mater. Chem. C 2020, 8, 14066–14074.
DOI Google Scholar
20

Chang, P. H.; Li, C. S.; Fu, F. Y.; Huang, K. Y.; Chou, A. S.; Wu, C. I. Ultrasensitive photoresponsive devices based on graphene/BiI3 van der Waals epitaxial heterostructures. Adv. Funct. Mater. 2018, 28, 1800179.
DOI Google Scholar
21

Hamdeh, U. H.; Nelson, R. D.; Ryan, B. J.; Bhattacharjee, U.; Petrich, J. W.; Panthani, M. G. Solution-processed BiI3 thin films for photovoltaic applications: Improved carrier collection via solvent annealing. Chem. Mater. 2016, 28, 6567–6574.
DOI Google Scholar
22

Kang, J.; Chen, S.; Zhao, X. L.; Yin, H. J.; Zhang, W. P.; Al-Mamun, M.; Liu, P.; Wang, Y.; Zhao, H. J. An inverted BiI3/PCBM binary quasi-bulk heterojunction solar cell with a power conversion efficiency of 1.50%. Nano Energy 2020, 73, 104799.
DOI Google Scholar
23

Wei, Q.; Chen, J. H.; Ding, P.; Shen, B.; Yin, J.; Xu, F.; Xia, Y. D.; Liu, Z. G. Synthesis of easily transferred 2D layered BiI3 nanoplates for flexible visible-light photodetectors. ACS Appl. Mater. Interfaces 2018, 10, 21527–21533.
DOI Google Scholar
24

Wei, Q.; Wang, Y. R.; Yin, J.; Xia, Y. D.; Liu, Z. G. High-performance visible-light photodetectors built on 2D-nanoplate-assembled large-scale BiI3 films. Adv. Electron. Mater. 2019, 5, 1900159.
DOI Google Scholar
25

Sun, H.; Yang, D. Y.; Liu, Y. Z.; Zhu, X. H. Highly flexible X-ray detectors based on pure inorganic metal iodide polycrystalline thin films as photon-to-charge conversion layers. ACS Appl. Electron. Mater. 2019, 1, 2637–2645.
DOI Google Scholar
26

Tiong, V. T.; Pham, N. D.; Wang, T.; Zhu, T. X.; Zhao, X. L.; Zhang, Y. H.; Shen, Q.; Bell, J.; Hu, L. H.; Dai, S. Y. et al. Octadecylamine-functionalized single-walled carbon nanotubes for facilitating the formation of a monolithic perovskite layer and stable solar cells. Adv. Funct. Mater. 2018, 28, 1705545.
DOI Google Scholar
27

Ma, S.; Yang, Y.; Liu, C.; Cai, M. L.; Ding, Y.; Tan, Z.; Shi, P. J.; Dai, S. Y.; Alsaedi, A.; Hayat, T. Vertically oriented BiI3 template featured BiI3/polymer heterojunction for high photocurrent and long-term stable solar cells. ACS Appl. Mater. Interfaces 2019, 11, 32509–32516.
DOI Google Scholar
28

Brandt, R. E.; Kurchin, R. C.; Hoye, R. L. Z.; Poindexter, J. R.; Wilson, M. W. B.; Sulekar, S.; Lenahan, F.; Yen, P. X. T.; Stevanović, V.; Nino, J. C. et al. Investigation of bismuth triiodide (BiI3) for photovoltaic applications. J. Phys. Chem. Lett. 2015, 6, 4297–4302.
DOI Google Scholar
29

Tiwari, D.; Alibhai, D.; Fermin, D. J. Above 600 mV open-circuit voltage BiI3 solar cells. ACS Energy Lett. 2018, 3, 1882–1886.
DOI Google Scholar
30

Hao, D. D.; Liu, D. P.; Shen, Y. K.; Shi, Q. Q.; Huang, J. Air-stable self-powered photodetectors based on lead-free CsBi3I10/SnO2 heterojunction for weak light detection. Adv. Funct. Mater. 2021, 31, 2100773.
DOI Google Scholar
31

Zhu, Q. B.; Li, B.; Yang, D. D.; Liu, C.; Feng, S.; Chen, M. L.; Sun, Y.; Tian, Y. N.; Su, X.; Wang, X. M. et al. A flexible ultrasensitive optoelectronic sensor array for neuromorphic vision systems. Nat. Commun. 2021, 12, 1798.
DOI Google Scholar
32

Fang, H. H.; Hu, W. D. Photogating in low dimensional photodetectors. Adv. Sci. 2017, 4, 1700323.
DOI Google Scholar
33

Wang, Y. S.; Zhang, Y. P.; Lu, Y.; Xu, W. D.; Mu, H. R.; Chen, C. Y.; Qiao, H.; Song, J. C.; Li, S. J.; Sun, B. Q. et al. Hybrid graphene-perovskite phototransistors with ultrahigh responsivity and gain. Adv. Opt. Mater. 2015, 3, 1389–1396.
DOI Google Scholar
34

Xie, C.; Yan, F. Enhanced performance of perovskite/organic-semiconductor hybrid heterojunction photodetectors with the electron trapping effects. J. Mater. Chem. C 2018, 6, 1338–1342.
DOI Google Scholar
35

Konstantatos, G.; Sargent, E. H. Nanostructured materials for photon detection. Nat. Nanotechnol. 2010, 5, 391–400.
DOI Google Scholar
36

Xu, X. Z.; Deng, W.; Zhang, X. J.; Huang, L. M.; Wang, W.; Jia, R. F.; Wu, D.; Zhang, X. H.; Jie, J. S.; Lee, S. T. Dual-band, high-performance phototransistors from hybrid perovskite and organic crystal array for secure communication applications. ACS Nano 2019, 13, 5910–5919.
DOI Google Scholar
37

Hao, D. D.; Liu, D. P.; Zhang, J. Y.; Wang, Y.; Huang, J. Lead-free perovskites-based photonic synaptic devices with logic functions. Adv. Mater. Technol. 2021, 6, 2100678.
DOI Google Scholar
38

Xie, C.; Liu, C. K.; Loi, H. L.; Yan, F. Perovskite-based phototransistors and hybrid photodetectors. Adv. Funct. Mater. 2020, 30, 1903907.
DOI Google Scholar
39

Hao, D. D.; Zhang, J. Y.; Dai, S. L.; Zhang, J. H.; Huang, J. Perovskite/organic semiconductor-based photonic synaptic transistor for artificial visual system. ACS Appl. Mater. Interfaces 2020, 12, 39487–39495.
DOI Google Scholar
40

Kim, W.; Javey, A.; Vermesh, O.; Wang, O.; Li, Y. M.; Dai, H. J. Hysteresis caused by water molecules in carbon nanotube field-effect transistors. Nano Lett. 2003, 3, 193–198.
DOI Google Scholar
41

Qian, Q. K.; Li, G. H.; Jin, Y. H.; Liu, J. K.; Zou, Y.; Jiang, K. L.; Fan, S. S.; Li, Q. Q. Trap-state-dominated suppression of electron conduction in carbon nanotube thin-film transistors. ACS Nano 2014, 8, 9597–9605.
DOI Google Scholar
42

Zhao, J.; Liu, F.; Huang, Q.; Lu, T. K.; Xi, M. Q.; Peng, L. M.; Liang, X. L. Charge trap-based carbon nanotube transistor for synaptic function mimicking. Nano Res. 2021, 14, 4258–4263.
DOI Google Scholar
43

Abbott, L. F.; Regehr, W. G. Synaptic computation. Nature 2004, 431, 796–803.
DOI Google Scholar
44

Yang, Y.; Lisberger, S. G. Purkinje-cell plasticity and cerebellar motor learning are graded by complex-spike duration. Nature 2014, 510, 529–532.
DOI Google Scholar
45

Wang, Y.; Lv, Z. Y.; Chen, J. R.; Wang, Z. P.; Zhou, Y.; Zhou, L.; Chen, X. L.; Han, S. T. Photonic synapses based on inorganic perovskite quantum dots for neuromorphic computing. Adv. Mater. 2018, 30, 1802883.
DOI Google Scholar
46

Yin, L.; Huang, W.; Xiao, R. L.; Peng, W. B.; Zhu, Y. Y.; Zhang, Y. Q.; Pi, X. D.; Yang, D. R. Optically stimulated synaptic devices based on the hybrid structure of silicon nanomembrane and perovskite. Nano Lett. 2020, 20, 3378–3387.
DOI Google Scholar
47

Zhang, C.; Wang, S. Y.; Zhao, X. L.; Yang, Y. H.; Tong, Y. H.; Zhang, M. X.; Tang, Q. X.; Liu, Y. C. Sub-femtojoule-energy-consumption conformable synaptic transistors based on organic single-crystalline nanoribbons. Adv. Funct. Mater. 2021, 31, 2007894.
DOI Google Scholar
48

Xu, W. T.; Min, S. Y.; Hwang, H.; Lee, T. W. Organic core–sheath nanowire artificial synapses with femtojoule energy consumption. Sci. Adv. 2016, 2, e1501326.
DOI Google Scholar
49

Liu, Y. X.;Wei, Y. N.;Liu, M. H.;Bai, Y. C.;Liu, G. C.;Wang, X. Y.;Shang, S. C.;Gao, W. Q.;Du, C. S.;Chen, J. Y.; Liu, Y. Q. Two-dimensional metal-organic framework film for realizing optoelectronic synaptic plasticity. Angew. Chem., Int. Ed. 2021, 60, 1–7.
DOI Google Scholar
50

Deng, W.; Zhang, X. J.; Jia, R. F.; Huang, L. M.; Zhang, X. H.; Jie, J. S. Organic molecular crystal-based photosynaptic devices for an artificial visual-perception system. NPG Asia Mater. 2019, 11, 77.
DOI Google Scholar
51

Ohno, T.; Hasegawa, T.; Tsuruoka, T.; Terabe, K.; Gimzewski, J. K.; Aono, M. Short-term plasticity and long-term potentiation mimicked in single inorganic synapses. Nat. Mater. 2011, 10, 591–595.
DOI Google Scholar
52

Dai, S. L.; Wu, X. H.; Liu, D. P.; Chu, Y. L.; Wang, K.; Yang, B.; Huang, J. Light-stimulated synaptic devices utilizing interfacial effect of organic field-effect transistors. ACS Appl. Mater. Interfaces 2018, 10, 21472–21480.
DOI Google Scholar
53

Jia, R. F.; Wu, X. F.; Deng, W.; Zhang, X. J.; Huang, L. M.; Niu, K. F.; Chi, L. F.; Jie, J. S. Unraveling the mechanism of the persistent photoconductivity in organic phototransistors. Adv. Funct. Mater. 2019, 29, 1905657.
DOI Google Scholar
54

Ji, Y. H.; Gao, Q.; Huang, A. P.; Yang, M. Q.; Liu, Y. Q.; Geng, X. L.; Zhang, J. J.; Wang, R. Z.; Wang, M.; Xiao, Z. S. et al. GaOx@GaN nanowire arrays on flexible graphite paper with tunable persistent photoconductivity. ACS Appl. Mater. Interfaces 2021, 13, 41916–41925.
DOI Google Scholar
55

Jiang, J.; Ling, C. Y.; Xu, T.; Wang, W. H.; Niu, X. H.; Zafar, A.; Yan, Z. Z.; Wang, X. M.; You, Y. M.; Sun, L. T. et al. Defect engineering for modulating the trap states in 2D photoconductors. Adv. Mater. 2018, 30, 1804332.
DOI Google Scholar
56

Ham, S.; Kang, M. J.; Jang, S.; Jang, J.; Choi, S.; Kim, T. W.; Wang, G. One-dimensional organic artificial multi-synapses enabling electronic textile neural network for wearable neuromorphic applications. Sci. Adv. 2020, 6, eaba1178.
DOI Google Scholar
57

Wang, R. Z.; Chen, P. Y.; Hao, D. D.; Zhang, J. Y.; Shi, Q. Q.; Liu, D. P.; Li, L.; Xiong, L. Z.; Zhou, J. H.; Huang, J. Artificial synapses based on lead-free perovskite floating-gate organic field-effect transistors for supervised and unsupervised learning. ACS Appl. Mater. Interfaces 2021, 13, 43144–43154.
DOI Google Scholar
58

Li, E. L.; Lin, W. K.; Yan, Y. J.; Yang, H. H.; Wang, X. M.; Chen, Q. Z.; Lv, D. X.; Chen, G. X.; Chen, H. P.; Guo, T. L. Synaptic transistor capable of accelerated learning induced by temperature-facilitated modulation of synaptic plasticity. ACS Appl. Mater. Interfaces 2019, 11, 46008–46016.
DOI Google Scholar
59

Wang, Y.; Yang, J.; Ye, W. B.; She, D. H.; Chen, J. R.; Lv, Z. Y.; Roy, V. A. L.; Li, H. L.; Zhou, K.; Yang, Q. et al. Near-infrared-irradiation-mediated synaptic behavior from tunable charge-trapping dynamics. Adv. Electron. Mater. 2020, 6, 1900765.
DOI Google Scholar
60

Gao, S.; Liu, G.; Yang, H. L.; Hu, C.; Chen, Q. L.; Gong, G. D.; Xue, W. H.; Yi, X. H.; Shang, J.; Li, R. W. An oxide schottky junction artificial optoelectronic synapse. ACS Nano 2019, 13, 2634–2642.
Google Scholar
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Publication history
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Acknowledgements

Publication history

Received: 03 November 2021
Revised: 14 December 2021
Accepted: 02 January 2022
Published: 10 March 2022
Issue date: June 2022

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© Tsinghua University Press 2022

Acknowledgements

Acknowledgements

This work was supported by the National Natural Science Foundation of China (Nos. 61822405, 62074111), the Science & Technology Foundation of Shanghai (Nos. 19JC1412402, 20JC1415600), Shanghai Municipal Science and Technology Major Project (No. 2021SHZDZX0100), Shanghai Municipal Commission of Science and Technology Project (No. 19511132101), and the support of the Fundamental Research Funds for the Central Universities. The authors are also thankful for the support of Testing & Analysis Center, School of Materials Science and Engineering, Tongji University.

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