Abstract Since it was proposed, memtransistors have been a leading candidate with powerful capabilities in the field of neural morphological networks. A memtransistor is an emerging structure combining the concepts of a memristor and a field-effect transistor with low-dimensional materials, so that both optical excitation and electrical stimuli can be used to modulate the memristive characteristics, which make it a promising multi-terminal hybrid device for synaptic structures. In this paper, a single CdS nanowire memtransistor has been constructed by the micromechanical exfoliation and alignment lithography methods. It is found that the CdS memtransistor has good non-volatile bipolar memristive characteristics, and the corresponding switching ratio is as high as 106 in the dark. While under illumination, the behavior of the CdS memtransistor is similar to that of a transistor or a memristor depending on the incident wavelengths, and the memristive switching ratio varies in the range of 10 to 105 with the increase of the incident wavelength in the visible light range. In addition, the optical power is also found to affect the memristive characteristics of the device. All of these can be attributed to the modulation of the potential barrier by abundant surface states of nanowires and the illumination influences on the carrier concentrations in nanowires.
Fund: Project supported by the National Natural Science Foundation of China (Grant No. 51702245) and the Fundamental Research Funds for the Central Universities, China (Grant No. WUT2020IB010).
Corresponding Authors:
Feng-Xiang Chen, Li-Sheng Wang
E-mail: phonixchen79@whut.edu.cn;wang_lesson@whut.edu.cn
[1] Chua L 1971 IEEE Trans. Circuit Theor.18 507 [2] Strukov D, Snider G, Stewart D R and Williams R S 2008 Nature453 80 [3] Yang J J, Pickett M D, Li, Ohlberg D A A, Strewart D R and Williams R S 2008 Nat. Nanotechnol.3 429 [4] Kang C F, Kuo W C, Bao W Z, Ho C H, Huang C W, Wu W W, Chu Y H, Juang J Y, Tseng S H, Hu L B and He J H 2015 Nano Energy13 283 [5] Chiu C H, Huang C W, Hsieh Y H, Chen J Y, Chang C F, Chu Y H and Wu W W 2017 Nano Energy34 103 [6] Borghetti, Snider G, Kuekes P, Yang J J, Strewart D R and Williams R S 2010 Nature464 873 [7] Zhao Q, Xie Z, Peng P, Wang K, Wang H, Li X, Wang H, Chen J, Zhang H and Yan X 2020 Mate. Horizon7 1495 [8] Sangwan V, Lee H, Bergeron, Balla I, Beck M E, Chen K and Hersam M C 2018 Nature554 500 [9] Zhong S 2019 Comput. Mater. Con.60 465 [10] Lin H, Wang C, Hong Q and Sun Y 2020 IEEE Trans. Circuits Syst. Ⅱ: Exp. Briefs67 3472 [11] Yin, Song, Sun Y, Qiao L, Wang B, Sun Y, Liu K, Pan F and Zhang X 2019 ACS App. Mater. Interfaces11 43344 [12] Cheiwchanchamnangij and Lambrecht W R 2012 Phy. Rev. B85 205302 [13] Yang Y, Du, Xue Q, Wei X, Yang Z, Xu C, Lin D, Jie W and Hao J 2019 Nano Energy57 566 [14] Zhou G, Sun B, Yao Y, Zhang H, Zhou A, Alameh K, Ding B and Song Q 2016 Appl. Phys. Lett.109 143904 [15] Li J P, Ma D W, Cao H T, Zhu L Q, Li J, Li, K, Liang L Y, Zhang H L, Gao J H and Zhuge F 2017 Mater. Sci. Eng. R Rep.35 592 [16] Zhang W, Li M, Wei Q, Cao L, Yang Z and Qiao S 2008 Acta. Phys. Sin.57 5887 (in Chinese) [17] Cheng B, Xiong L, Cai Q, Shi H, Zhao J, Su X, Xiao Y and Lei S 2016 ACS Appl. Mater. Interface8 34648 [18] Liang K D, Huang C H, Lai C C, Huang J S, Tsai H W, Wang Y C, Shih Y C, Chang M T, Lo S C and Chueh Y L 2014 ACS Appl. Mater. Interface6 16537 [19] Liu P, Lin C, Manekkathodi and Chen L 2015 Nano Energy15 362 [20] Wang P, Tang J, Kang Y, Fang X, Fang D, Wang D, Lin F, Wang X and Wei Z 2019 Acta. Phys. Sin.68 087803 (in Chinese) [21] Zhang L 2017 Preparation and photoelectric properties of CDs one dimensional nanostructures (MS Dissertation) (Nanchang: Nanchang University) (in Chinese) [22] Zhang, Zhang F, Wang, Wang L, Wang F, Lin Q, Shen H and Li L S 2019 Opt. Express27 7935 [23] Wang F, Wang, Cheng K and Zou B 2008 Chin. Phy. B17 3103 [24] Li L, Yang, Zhang X, Wang L, Jiang Z, Lin Q, Wang C, Han F and Peng N 2014 Microelectron Eng126 27 [25] Xi Y, Hu, Zheng C, Zhang H, Yang R and Tian Y 2010 Mater. Res. Bul.45 1476 [26] Li F, Luo L, Yang, Wu D, Xie C, Nie B, Jie J, Wu C, Wang L and Yu S 2013 Adv. Energy Mate.3 579 [27] Khan M S and Srivastava A 2019 Semiconductors53 1759 [28] Jin W F and Hu L D 2019 Nanomaterial9 1359 [29] Marmon J K, Rai S C, Wang, Zhou W and Zhang Y 2016 Front. Phys.4 8 [30] Xue W, Ci W, Xu X and Liu G 2020 Chin. Phy. B29 048401 [31] Hong Z, Zhao, Li, Cheng B, Xiao Y and Lei S 2019 Nanoscale11 3360 [32] Maity R, Kundoo S and Chattopadhyay K K 2006 Mate. Manuf. Process.21 644 [33] Teng F, Hu K, Ouyang W and Fang X 2018 Adv. Mater.30 1706262
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