The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Memristive Synapses with Photoelectric Plasticity Realized in ZnO1–x/AlOyHeterojunction
Abstract
With the end of Moore’s law in sight, new computing architectures are urgently needed to satisfy the increasing demands for big data processing. Neuromorphic architectures with photoelectric learning capability are good candidates for energy-efficient computing for recognition and classification tasks. In this work, artificial synapses based on the ZnO 1– x /AlO y heterojunction were fabricated and the photoelectric plasticity was investigated. Versatile synaptic functions such as photoelectric short-term/long-term plasticity, paired-pulse facilitation, neuromorphic facilitation, and depression were emulated based on the inherent persistent photoconductivity and volatile resistive switching characteristics of the device. It is found that the naturally formed AlO y layer provides traps for photogenerated holes, resulting in a significant persistent photoconductivity effect. Moreover, the resistive switching can be attributed to the electron trapping/detrapping at the trapping sites in the AlO y layer.
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Cites
Nanoscale Memristor Device as Synapse in Neuromorphic Systems
Jo, S. H., Chang, T., Ebong, I., Bhadviya, B. B., Mazumder, P., & Lu, W. (2010) · Nano Letters · doi:10.1021/nl904092h · Cited by 4,174
Training and operation of an integrated neuromorphic network based on metal-oxide memristors
Prezioso, M., Merrikh-Bayat, F., Hoskins, B. D., Adam, G. C., Likharev, K. K., & Strukov, D. B. (2015) · Nature · doi:10.1038/nature14441 · Cited by 3,001
Short-term plasticity and long-term potentiation mimicked in single inorganic synapses
Ohno, T., Hasegawa, T., Tsuruoka, T., Terabe, K., Gimzewski, J. K., & Aono, M. (2011) · Nature Materials · doi:10.1038/nmat3054 · Cited by 1,793
Pattern classification by memristive crossbar circuits using ex situ and in situ training
Alibart, F., Zamanidoost, E., & Strukov, D. B. (2013) · Nature Communications · doi:10.1038/ncomms3072 · Cited by 642
Kim, S., Du, C., Sheridan, P., Ma, W., Choi, S., & Lu, W. D. (2015) · Nano Letters · doi:10.1021/acs.nanolett.5b00697 · Cited by 603
Distinct short-term plasticity at two excitatory synapses in the hippocampus
Salin, P. A., Scanziani, M., Malenka, R. C., & Nicoll, R. A. (1996) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.93.23.13304 · Cited by 438
Shi, T., Yin, X.-B., Yang, R., & Guo, X. (2016) · Physical Chemistry Chemical Physics · doi:10.1039/c5cp07675g · Cited by 37
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Cited by
An Oxide Schottky Junction Artificial Optoelectronic Synapse
Gao, S., Liu, G., Yang, H., Hu, C., Chen, Q., Gong, G., Xue, W., Yi, X., Shang, J., & Li, R.-W. (2019) · ACS Nano · doi:10.1021/acsnano.9b00340 · Cited by 494
Metadata
- Authors
- Hu, D.-C., Yang, R., Jiang, L., & Guo, X.
- Venue
- ACS Applied Materials & Interfaces
- Publisher
- American Chemical Society (ACS)
- Published
- 2018-02-12
- Volume
- 10
- Issue
- 7
- Pages
- 6463-6470
- ISSN
- 1944-8244 (ISSN-L)
- 1944-8252
- OpenAlex
- W2786940338
- Cited by
- 181
- References
- 7
- FWCI
- 5.93
- Type
- journal article
- Language
- en
- Open access
- closed
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