Crossover from synaptic to neuronal functionalities through carrier concentration control in Nb-doped SrTiO3-based organic ferroelectric tunnel junctions
Source abstract
Abstract
The development of neuromorphic architectures depends on the engineering of new functional materials and material interfaces. Here, we present a study on organic ferroelectric tunnel junctions (FTJs) comprising a metal/ferroelectric/semiconductor stack with varying charge carrier density in the semiconducting electrode and demonstrate fast, volatile switching behavior when the bound polarization charges in the tunnel barrier are insufficiently screened. The manipulation of ferroelectric polarization and depolarization dynamics in our FTJs through pulse magnitude, duration, and delay time constitutes a controlled transition from synaptic behavior to integrate-and-fire neuronal activity. This ability to tune the response of a single memristor device via charge carrier optimization opens pathways for the design of smart electronic neurons.
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Research context
OpenAlex topics: Advanced Memory and Neural Computing · Ferroelectric and Negative Capacitance Devices · Ferroelectric and Piezoelectric Materials
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
VTT Technical Research Centre of Finland Ltd. 1 , P.O. Box 1000, FI-02044 VTT, Finland
Nanospin, Department of Applied Physics, Aalto University School of Science 2 , P.O. Box 15100, FI-00076 Aalto, Finland
Funding
Teknologian Tutkimuskeskus VTT · Aalto-Yliopisto · Academy of Finland
References (38)
Show source-provided references
1. Science · 2007 · 315 · 95410.1126/science.1129564 ↗
2. Rev. Mod. Phys. · 2005 · 77 · 108310.1103/revmodphys.77.1083 ↗
3. Nat. Commun. · 2014 · 5 · 428910.1038/ncomms5289 ↗
4. Nano Lett. · 2009 · 9 · 353910.1021/nl901754t ↗
5. Phys. Rev. Lett. · 2005 · 94 · 24680210.1103/physrevlett.94.246802 ↗
6. Phys. Rev. B · 2005 · 72 · 12534110.1103/physrevb.72.125341 ↗
7. Nat. Mater. · 2013 · 12 · 61710.1038/nmat3649 ↗
8. Nat. Commun. · 2016 · 7 · 1080810.1038/ncomms10808 ↗
9. Appl. Phys. Lett. · 2013 · 102 · 10290110.1063/1.4795145 ↗
10. Appl. Phys. Lett. · 2016 · 109 · 16350110.1063/1.4965708 ↗
11. Nat. Commun. · 2017 · 8 · 1521710.1038/ncomms15217 ↗
12. Nat. Mater. · 2012 · 11 · 10310.1038/nmat3223 ↗
13. Science · 2010 · 327 · 160710.1126/science.1181862 ↗
14. Phys. Rev. B · 2010 · 81 · 15511010.1103/physrevb.81.155110 ↗
15. Phys. Rev. B · 2007 · 76 · 15511010.1103/physrevb.76.155110 ↗
16. Appl. Phys. Lett. · 1995 · 66 · 69710.1063/1.114103 ↗
17. Adv. Funct. Mater. · 2018 · 28 · 170327310.1002/adfm.201703273 ↗
18. Adv. Electron. Mater. · 2019 · 5 · 180079510.1002/aelm.201800795 ↗
19. Nature · 1998 · 391 · 87410.1038/36069 ↗
20. Appl. Phys. Lett. · 2003 · 82 · 432210.1063/1.1582366 ↗
21. Chem. Phys. Lett. · 2005 · 410 · 33910.1016/j.cplett.2005.05.109 ↗
22. Nat. Commun. · 2014 · 5 · 399010.1038/ncomms4990 ↗
23. Proc. IEEE · 2012 · 100 · 195110.1109/jproc.2012.2190369 ↗
24. Nat. Nanotechnol. · 2013 · 8 · 1310.1038/nnano.2012.240 ↗
25. J. Appl. Phys. · 2006 · 99 · 08S70110.1063/1.2176317 ↗
26. J. Phys. D: Appl. Phys. · 2009 · 42 · 14511410.1088/0022-3727/42/14/145114 ↗
27. J. Appl. Phys. · 1972 · 43 · 212410.1063/1.1661463 ↗
28. J. Appl. Phys. · 1997 · 81 · 683010.1063/1.365242 ↗
29. 1981
30. J. Appl. Phys. · 1973 · 44 · 337910.1063/1.1662770 ↗
31. Nat. Mater. · 2013 · 12 · 11410.1038/nmat3510 ↗
32. Adv. Funct. Mater. · 2017 · 27 · 160474010.1002/adfm.201604740 ↗
33. Nat. Nanotechnol. · 2016 · 11 · 69310.1038/nnano.2016.70 ↗
34. Small · 2018 · 14 · 180218810.1002/smll.201802188 ↗
35. Front. Neurosci. · 2011 · 5 · 7310.3389/fnins.2011.00073 ↗
36. Nature · 2008 · 453 · 8010.1038/nature06932 ↗
37. Radioengineering · 2009 · 18 · 210
38. Eur. J. Phys. · 2009 · 30 · 66110.1088/0143-0807/30/4/001 ↗