The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
All-Oxide-Based Highly Transparent Photonic Synapse for Neuromorphic Computing
Abstract
The neuromorphic system processes enormous information even with very low energy consumption, which practically can be achieved with photonic artificial synapse. Herein, a photonic artificial synapse is demonstrated based on an all-oxide highly transparent device. The device consists of conformally grown In 2 O 3 /ZnO thin films on a fluorine-doped tin oxide/glass substrate. The device showed a loop opening in current–voltage characteristics, which was attributed to charge trapping/detrapping. Ultraviolet illumination-induced versatile features such as short-term/long-term plasticity and paired-pulse facilitation were truly confirmed. Further, photonic potentiation and electrical habituation were implemented. This study paves the way to develop a device in which current can be modulated under the action of optical stimuli, serving as a fundamental step toward the realization of low-cost synaptic behavior.
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Strukov, D. B., Snider, G. S., Stewart, D. R., & Williams, R. S. (2008) · Nature · doi:10.1038/nature06932 · Cited by 11,828
Memristors with diffusive dynamics as synaptic emulators for neuromorphic computing
Wang, Z., Joshi, S., Savel’ev, S. E., Jiang, H., Midya, R., Lin, P., Hu, M., Ge, N., Strachan, J. P., Li, Z., et al. (2017) · Nature Materials · doi:10.1038/nmat4756 · Cited by 2,358
Short-Term Memory to Long-Term Memory Transition in a Nanoscale Memristor
Chang, T., Jo, S.-H., & Lu, W. (2011) · ACS Nano · doi:10.1021/nn202983n · Cited by 1,058
Kim, K. M., Zhang, J., Graves, C., Yang, J. J., Choi, B. J., Hwang, C. S., Li, Z., & Williams, R. S. (2016) · Nano Letters · doi:10.1021/acs.nanolett.6b01781 · Cited by 246
Cited by
A comprehensive review on emerging artificial neuromorphic devices
Zhu, J., Zhang, T., Yang, Y., & Huang, R. (2020) · Applied Physics Reviews · doi:10.1063/1.5118217 · Cited by 758
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
Recent Progress in Three‐Terminal Artificial Synapses: From Device to System
Han, H., Yu, H., Wei, H., Gong, J., & Xu, W. (2019) · Small · doi:10.1002/smll.201900695 · Cited by 348
Meng, J., Wang, T., Zhu, H., Ji, L., Bao, W., Zhou, P., Chen, L., Sun, Q.-Q., & Zhang, D. W. (2022) · Nano Letters · doi:10.1021/acs.nanolett.1c03240 · Cited by 269
Metadata
- Authors
- Kumar, M., Abbas, S., & Kim, J.
- Venue
- ACS Applied Materials & Interfaces
- Publisher
- American Chemical Society (ACS)
- Published
- 2018-09-12
- Volume
- 10
- Issue
- 40
- Pages
- 34370-34376
- ISSN
- 1944-8244 (ISSN-L)
- 1944-8252
- OpenAlex
- W2891792436
- Cited by
- 254
- References
- 4
- FWCI
- 8.56
- Type
- journal article
- Language
- en
- Open access
- closed
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