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An electroforming-free, analog interface-type memristor based on a SrFeOx epitaxial heterojunction for neuromorphic computing

Publication ,  Journal Article
Rao, J; Fan, Z; Hong, L; Cheng, S; Huang, Q; Zhao, J; Xiang, X; Guo, EJ; Guo, H; Hou, Z; Chen, Y; Lu, X; Zhou, G; Gao, X; Liu, JM
Published in: Materials Today Physics
May 1, 2021

Distinct from the conductive filament-type counterparts, the interface-type resistive switching (RS) devices are electroforming-free and exhibit bidirectionally continuous conductance changes, making them promising candidates as analog synapses. While the interface-type RS devices typically operate through the interfacial oxygen migration, materials which can tolerate a wide range of oxygen non-stoichiometry and possess high oxygen mobility are therefore demanded. SrFeOx (SFO), which can easily transform between a conductive, oxygenated perovskite SrFeO3 (PV-SFO) phase and an insulating, oxygen-vacancy-rich brownmillerite SrFeO2.5 (BM-SFO) phase under electric field, emerges as a suitable material. Herein, an interface-type RS device is ingeniously structured by two epitaxial SFO layers: a PV-SFO matrix layer and an ultrathin BM-SFO interfacial layer, aiming to leverage the oxygen migration-induced interfacial BM-PV phase transformation to realize the gradual conductance modulation. Experimentally, the fabricated device exhibits electroforming-free, analog memristive behavior. This device also emulates essential synaptic functions, including excitatory postsynaptic current, paired-pulse facilitation, transition from short-term memory to long-term memory, spike-timing-dependent plasticity, and potentiation/depression. A simulated neural network built from the SFO-based synapses achieves accuracies above 88% for image recognition. This work provides a novel approach to use the SFO family of topotactic materials for developing analog synapses as building blocks for neuromorphic computing circuits.

Duke Scholars

Published In

Materials Today Physics

DOI

EISSN

2542-5293

Publication Date

May 1, 2021

Volume

18

Related Subject Headings

  • 5104 Condensed matter physics
  • 5102 Atomic, molecular and optical physics
  • 4016 Materials engineering
 

Citation

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Rao, J., Fan, Z., Hong, L., Cheng, S., Huang, Q., Zhao, J., … Liu, J. M. (2021). An electroforming-free, analog interface-type memristor based on a SrFeOx epitaxial heterojunction for neuromorphic computing. Materials Today Physics, 18. https://doi.org/10.1016/j.mtphys.2021.100392
Rao, J., Z. Fan, L. Hong, S. Cheng, Q. Huang, J. Zhao, X. Xiang, et al. “An electroforming-free, analog interface-type memristor based on a SrFeOx epitaxial heterojunction for neuromorphic computing.” Materials Today Physics 18 (May 1, 2021). https://doi.org/10.1016/j.mtphys.2021.100392.
Rao J, Fan Z, Hong L, Cheng S, Huang Q, Zhao J, et al. An electroforming-free, analog interface-type memristor based on a SrFeOx epitaxial heterojunction for neuromorphic computing. Materials Today Physics. 2021 May 1;18.
Rao, J., et al. “An electroforming-free, analog interface-type memristor based on a SrFeOx epitaxial heterojunction for neuromorphic computing.” Materials Today Physics, vol. 18, May 2021. Scopus, doi:10.1016/j.mtphys.2021.100392.
Rao J, Fan Z, Hong L, Cheng S, Huang Q, Zhao J, Xiang X, Guo EJ, Guo H, Hou Z, Chen Y, Lu X, Zhou G, Gao X, Liu JM. An electroforming-free, analog interface-type memristor based on a SrFeOx epitaxial heterojunction for neuromorphic computing. Materials Today Physics. 2021 May 1;18.
Journal cover image

Published In

Materials Today Physics

DOI

EISSN

2542-5293

Publication Date

May 1, 2021

Volume

18

Related Subject Headings

  • 5104 Condensed matter physics
  • 5102 Atomic, molecular and optical physics
  • 4016 Materials engineering