journal article·2017-07Open access

Organic electronic synapses with pinched hystereses based on graphene quantum-dot nanocomposites

Hwan Young Choi, Chaoxing Wu, Chang Han Bok, Tae Whan Kim

NPG Asia Materials· Volume 9· Issue 7

Abstract

Organic electronic synapses (e-synapses) based on poly(3,4-ethylenedioxythiophene) polystyrene sulfonate (PEDOT:PSS)/graphene quantum dot (GQD) nanocomposites are fabricated by using a solution method. Current–voltage (I–V) curves for the devices under dual positive bias voltage sweeps show that the conductance with a pinched hysteresis gradually increased with increasing applied voltage, and those for the devices under dual negative bias voltage sweeps gradually decreased with increasing applied voltage, indicative of the fingerprint of e-synapses. The current in the devices decreases with increasing concentration of GQDs in the active layer, and the devices fabricated utilizing the ratio of PEDOT:PSS to GQDs of 1:0.4 shows the best performance among the e-synapses. The carrier transport and operating mechanisms of the e-synapses are described on the basis of both the I–V results and the trapping and escape of electrons from the GQDs. An electronic device made from organic materials that behaves like a synapse in the brain has been created by scientists in Korea. Engineering electronic components that mimic the behavior of synapses could revolutionize the currently silicon-based computing industry. Tae Whan Kim and co-workers from Hanyang University combined graphene quantum dots with an electronic polymer to create what could be the building block of a computer that operates like the brain. They made a type of artificial synapse known as a resistive switch, or memristor, that can be controllably flipped between a high and low electrical resistance states. The researchers' device consisted of graphene quantum dots embedded in poly(3,4-ethylenedioxythiophene) polystyrene sulfonate. They showed that its electrical properties can be optimized by changing the concentration of quantum dots. Organic electronic synapses based on poly(3,4-ethylenedioxythiophene) polystyrene sulfonate (PEDOT:PSS)/graphene quantum-dot (GQD) nanocomposites were fabricated by using a solution method. Current–voltage (I–V) curves for the devices under dual positive bias voltage sweeps and under dual negative bias voltage sweeps showed that the conductance with a pinched hysteresis gradually increased and gradually decreased, respectively, with increasing applied voltage which is a fingerprint of e-synapses. The current in the devices was found to decrease with increasing concentration of GQDs in the active layer, and the devices fabricated utilizing the ratio of PEDOT:PSS to GQDs of 1:0.4 showed the best performance among the e-synapses. The carrier transport and operating mechanisms of the e-synapses are described in this paper on the basis of both the I–V results and the trapping and escape of electrons from the GQDs. We believe that our letter contains significant results of interest to a broad spectrum of NPG Asia Materials readers.
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Research context

OpenAlex topics: Advanced Memory and Neural Computing · Neuroscience and Neural Engineering · Conducting polymers and applications

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References (34)

Show source-provided references
1. Widrow, B. & Hoff, M. E. Adaptive switching circuits. IRE Western Electron. Show Convention, Convention Record Part 4, 96–104 (1960).
2. Steinbuch, K. & Peter, M. US Patent No. 3,286,238 (1966).
3. Stanford, R. & Ovshinsky, I. M. Analog models for information storage and transmission in physiological systems. Mater. Res. Bull. 5, 681–690 (1970).10.1016/0025-5408(70)90109-1 ↗
4. Wang, Z., Joshi, S., Savel’ev, S. E., Jiang, H., Midya, R., Lin, P., Hu, M., Ge, N., Strachan, J. P., Li, Z., Wu, Q., Barnell, M., Li, G. L., Xin, H. L., Williams, R. S., Xia, Q. & Yang, J. J. Memristors with diffusive dynamics as synaptic emulators for neuromorphic computing. Nat. Mater. 16, 101–108 (2017).10.1038/nmat4756 ↗
5. Borghetti, J., Li, Z., Straznicky, J., Li, X., Ohlberg, D. A., Wu, W., Stewart, D. R. & Williams, R. S. A hybrid nanomemristor/transistor logic circuit capable of self-programming. Proc. Natl Acad. Sci. USA 106, 1699–1703 (2009).10.1073/pnas.0806642106 ↗
6. Kim, T. W., Yang, Y., Li, F. & Kwan, W. L. Electrical memory devices based on inorganic/organic nanocomposites. NPG Asia Mater. 4, e18 (2012).10.1038/am.2012.32 ↗
7. Chua, L. Memristor-the missing circuit element. IEEE Trans. Circuits Syst. 18, 507–519 (1971).
8. Chen, Y., Liu, G., Wang, C., Zhang, W., Li, R. W. & Wang, L. Polymer memristor for information storage and neuromorphic applications. Mater. Horiz 1, 489–506 (2014).10.1039/C4MH00067F ↗
9. Jo, S. H., Chang, T., Ebong, I., Bhadviya, B. B., Mazumder, P. & Lu, W. Nanoscale memristor device as synapse in neuromorphic systems. Nano Lett. 10, 1297–1301 (2010).10.1021/nl904092h ↗
10. Choi, B. J., Zhang, J., Norris, K., Gibson, G., Kim, K. M., Jackson, W., Zhang, M.-X. M., Li, Z., Yang, J. J. & Williams, R. S. Trilayer tunnel selectors for memristor memory cells. Adv. Mater. 28, 356–362 (2016).10.1002/adma.201503604 ↗
11. Wu, C., Li, F. & Guo, T. Efficient tristable resistive memory based on single layer graphene/insulating polymer multi-stacking layer. Appl. Phys. Lett. 104, 183105 (2014).10.1063/1.4875596 ↗
12. Wu, C., Li, F., Guo, T. & Kim, T. W. Controlling memory effects of three-layer structured hybrid bistable devices based on graphene sheets sandwiched between two laminated polymer layers. Org. Electron. 13, 178–183 (2012).10.1016/j.orgel.2011.11.002 ↗
13. Wu, C., Li, F., Zhang, Y., Guo, T. & Chen, T. Highly reproducible memory effect of organic multilevel resistive-switch device utilizing graphene oxide sheets/polyimide hybrid nanocomposite. Appl. Phys. Lett. 99, 042108 (2011).10.1063/1.3619815 ↗
14. Eustis, S. & El-Sayed, M. A. Why gold nanoparticles are more precious than pretty gold: noble metal surface plasmon resonance and its enhancement of the radiative and nonradiative properties of nanocrystals of different shapes. Chem. Soc. Rev. 35, 209–217 (2006).10.1039/B514191E ↗
15. Bacon, M., Bradley, S. J. & Nann, T. Graphene quantum dots. Part. Part. Syst. Charact. 31, 415–428 (2014).10.1002/ppsc.201300252 ↗
16. Zhang, X., Zhang, Y., Wang, Y., Kalytchuk, S., Kershaw, S. V., Wang, Y., Wang, P., Zhang, T., Zhao, Y., Zhang, H., Cui, T., Wang, Y., Zhao, J., Yu, W. W. & Rogach, A. L. Color-switchable electroluminescence of carbon dot light-emitting diodes. ACS Nano 7, 11234–11241 (2013).10.1021/nn405017q ↗
17. Kim, J. K., Kim, S. J., Park, M. J., Bae, S., Cho, S. P., Du, Q. G., Wang, D. H., Park, J. H. & Hong, B. H. Surface-engineered graphene quantum dots incorporated into polymer layers for high performance organic photovoltaics. Sci. Rep. 5, 14276 (2015).10.1038/srep14276 ↗
18. Gupta, V., Chaudhary, N., Srivastava, R., Sharma, G. D., Bhardwaj, R. & Chand, S. Luminscent graphene quantum dots for organic photovoltaic devices. J. Am. Chem. Soc. 133, 9960–9963 (2011).10.1021/ja2036749 ↗
19. Kim, Y. R., Jo, Y. E., Shin, Y. S., Kang, W. T., Sung, Y. H., Won, U. Y., Lee, Y. H. & Yu, W. J. Electrostatically transparent graphene quantum-dot trap layers for efficient nonvolatile memory. Appl. Phys. Lett. 106, 103105 (2015).10.1063/1.4914306 ↗
20. Kalita, H., Harikrishnan, V., Shinde, D. B., Pillai, V. K. & Aslam, M. Hysteresis and charge trapping in graphene quantum dots. Appl. Phys. Lett. 102, 143104 (2013).10.1063/1.4800236 ↗
21. Joo, S. S., Kim, J., Kang, S. S., Kim, S., Choi, S. H. & Hwang, S. W. Graphene-quantum-dot nonvolatile charge-trap flash memories. Nanotechnology 25, 255203 (2014).10.1088/0957-4484/25/26/265601 ↗
22. Ji, Y., Kim, J., Cha, A. N., Lee, S. A., Lee, M. W., Suh, J. S., Bae, S. K. & Wang, G. Graphene quantum dots as a highly efficient solution-processed charge trapping medium for organic nano-floating gate memory. Nanotechnology 27, 145204 (2016).10.1088/0957-4484/27/14/145204 ↗
23. La Barbera, S., Vuillaume, D. & Alibart, F. Filamentary switching: synaptic plasticity through device volatility. ACS Nano 9, 941–949 (2015).10.1021/nn506735m ↗
24. Kepić, D. P., Marković, Z. M., Jovanović, S. P., Peruško, D. B., Budimir, M. D., Holclajtner-Antunović, I. D., Pavlović, V. B. & Marković, B. M. T. Preparation of PEDOT: PSS thin films doped with graphene and graphene quantum dots. Synth. Met. 198, 150–154 (2014).10.1016/j.synthmet.2014.10.017 ↗
25. Williams, R. S. How we found the missing memristor. IEEE. Spectrosc. 45, 28–35 (2008).10.1109/MSPEC.2008.4687366 ↗
26. Kim, Y. H., Sachse, C., Machala, M. L., May, C., Müller‐Meskamp, L. & Leo, K. Highly conductive PEDOT: PSS electrode with optimized solvent and thermal post‐treatment for ITO‐free organic solar cells. Adv. Funct. Mater. 21, 1076–1108 (2011).10.1002/adfm.201002290 ↗
27. Chang, T., Jo, S. H., Kim, K. H., Sheridan, P., Gaba, S. & Lu, W. Synaptic behaviors and modeling of a metal oxide memristive device. Appl. Phys. A. Mater. Sci. Process. 102, 857–863 (2011).10.1007/s00339-011-6296-1 ↗
28. Chang, T., Jo, S. H. & Lu, W. Short-term memory to long-term memory transition in a nanoscale memristor. ACS Nano 5, 7669–7676 (2011).10.1021/nn202983n ↗
29. Biolek, Z. & Biolek, D. How can the hysteresis loop of the ideal memristor be pinched? IEEE Trans. Circuits. Syst. II. Express Briefs 61, 491–495 (2014).10.1109/TCSII.2014.2327303 ↗
30. Rose, A. Space-charge-limited currents in solids. Phys. Rev. 97, 1538 (1955).10.1103/PhysRev.97.1538 ↗
31. Tadayyon, S. M., Grandin, H. M., Griffiths, K., Coatsworth, L. L., Norton, P. R., Aziz, H. & Popovic, Z. D. Reliable and reproducible determination of work function and ionization potentials of layers and surfaces relevant to organic light emitting diodes. Org. Electron. 5, 199–205 (2004).10.1016/j.orgel.2003.12.002 ↗
32. Sekiya, R., Uemura, Y., Naito, H., Naka, K. & Haino, T. Chemical functionalisation and photoluminescence of graphene quantum dots. Chemistry 22, 8198–8206 (2016).10.1002/chem.201504963 ↗
33. Ratcliff, E. L., Meyer, J., Steirer, K. X., Armstrong, N. R., Olson, D. & Kahn, A. Energy level alignment in PCDTBT: PC 70 BM solar cells: solution processed NiOx for improved hole collection and efficiency. Org. Electron. 13, 744–749 (2012).10.1016/j.orgel.2012.01.022 ↗
34. Obreja, A. C., Cristea, D., Mihalache, I., Radoi, A., Gavrila, R., Comanescu, F. & Kusko, C. Charge transport and memristive properties of graphene quantum dots embedded in poly (3-hexylthiophene) matrix. Appl. Phys. Lett. 105, 083303 (2014).10.1063/1.4893919 ↗