The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Ferroelectric tunnel junctions for information storage and processing
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Citations
Cites
Memristor—The Missing Circuit Element
Chua, L. (1971) · IEEE Transactions on Circuit Theory · doi:10.1109/tct.1971.1083337 · Cited by 10,268
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 · cited 2×
“Hence, this memristive behaviour emulates the typical plasticity of synapses and could be implemented in neuromorphic architectures 53 .”
BackgroundMemristive switching mechanism for metal/oxide/metal nanodevices
Yang, J. J., Pickett, M. D., Li, X., Ohlberg, D. A. A., Stewart, D. R., & Williams, R. S. (2008) · Nature Nanotechnology · doi:10.1038/nnano.2008.160 · Cited by 2,987 · cited 1×
“Investigations on nanoscale tunnel junctions are required to evaluate the limit of scalability of the devices and assess their potential as non-volatile memories and as memristors in massively parallel architectures 80 .”
Background
Cited by
Resistive switching materials for information processing
Wang, Z., Wu, H., Burr, G. W., Hwang, C. S., Wang, K. L., Xia, Q., & Yang, J. J. (2020) · Nature Reviews Materials · doi:10.1038/s41578-019-0159-3 · Cited by 1,214
The Past, the Present, and the Future of Ferroelectric Memories
Mikolajick, T., Schroeder, U., & Slesazeck, S. (2020) · IEEE Transactions on Electron Devices · doi:10.1109/ted.2020.2976148 · Cited by 486
Energy-efficient memcapacitor devices for neuromorphic computing
Demasius, K.-U., Kirschen, A., & Parkin, S. (2021) · Nature Electronics · doi:10.1038/s41928-021-00649-y · Cited by 207
Xue, F., He, X., Wang, Z., Retamal, J. R. D., Chai, Z., Jing, L., Zhang, C., Fang, H., Chai, Y., Jiang, T., et al. (2021) · Advanced Materials · doi:10.1002/adma.202008709 · Cited by 130
Metadata
- Authors
- Garcia, V., & Bibes, M.
- Venue
- Nature Communications
- Published
- 2014-07-24
- Volume
- 5
- Issue
- 1
- Pages
- 4289-4289
- ISSN
- 2041-1723 (ISSN-L)
- OpenAlex
- W2007978852
- Cited by
- 896
- References
- 3
- FWCI
- 28.83
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Garcia, V., & Bibes, M. (2014). Ferroelectric tunnel junctions for information storage and processing. Nature Communications. https://doi.org/10.1038/ncomms5289
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.