The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Hardware-intrinsic security primitives enabled by analogue state and nonlinear conductance variations in integrated memristors
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Citations
Cites
Redox‐Based Resistive Switching Memories – Nanoionic Mechanisms, Prospects, and Challenges
Waser, R., Dittmann, R., Staikov, G., & Szot, K. (2009) · Advanced Materials · doi:10.1002/adma.200900375 · Cited by 5,080
Memristive devices for computing
Yang, J. J., Strukov, D. B., & Stewart, D. R. (2013) · Nature Nanotechnology · doi:10.1038/nnano.2012.240 · Cited by 3,885
Self-citationKim, K.-H., Gaba, S., Wheeler, D., Cruz-Albrecht, J. M., Hussain, T., Srinivasa, N., & Lu, W. (2012) · Nano Letters · doi:10.1021/nl203687n · Cited by 924 · cited 1×
“For example, scaling up the crossbar to M = N = 100 should be relatively straightforward for the considered PUF circuits 43,44 given that the requirements for the memristors, especially the requirement for device-to-device variation, are more relaxed than those for digital or analogue computing…”
BackgroundHigh precision tuning of state for memristive devices by adaptable variation-tolerant algorithm
Alibart, F., Gao, L., Hoskins, B. D., & Strukov, D. B. (2012) · Nanotechnology · doi:10.1088/0957-4484/23/7/075201 · Cited by 557 · cited 2×
“40 The goal of the tuning procedure is to enhance the contribution of the devices’ I–”
BackgroundMethodSelf-citation3-D Memristor Crossbars for Analog and Neuromorphic Computing Applications
Adam, G. C., Hoskins, B. D., Prezioso, M., Merrikh-Bayat, F., Chakrabarti, B., & Strukov, D. B. (2017) · IEEE Transactions on Electron Devices · doi:10.1109/ted.2016.2630925 · Cited by 234 · cited 1×
“(The fabrication steps are similar to those described in our earlier report 39 and are explained in more detail in Supplementary Section 1.)”
MethodSelf-citation
Cited by
Memory devices and applications for in-memory computing
Sebastian, A., Le Gallo, M., Khaddam-Aljameh, R., & Eleftheriou, E. (2020) · Nature Nanotechnology · doi:10.1038/s41565-020-0655-z · Cited by 2,289
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
From molecular to supramolecular electronics
Chen, H., & Fraser Stoddart, J. (2021) · Nature Reviews Materials · doi:10.1038/s41578-021-00302-2 · Cited by 380
Mehonic, A., Sebastian, A., Rajendran, B., Simeone, O., Vasilaki, E., & Kenyon, A. J. (2020) · Advanced Intelligent Systems · doi:10.1002/aisy.202000085 · Cited by 331
In situ training of feed-forward and recurrent convolutional memristor networks
Wang, Z., Li, C., Lin, P., Rao, M., Nie, Y., Song, W., Qiu, Q., Li, Y., Yan, P., Strachan, J. P., et al. (2019) · Nature Machine Intelligence · doi:10.1038/s42256-019-0089-1 · Cited by 307
Metadata
- Authors
- Nili, H., Adam, G. C., Hoskins, B., Prezioso, M., Kim, J., Mahmoodi, M. R., Bayat, F. M., Kavehei, O., & Strukov, D. B.
- Venue
- Nature Electronics
- Published
- 2018-03-09
- Volume
- 1
- Issue
- 3
- Pages
- 197-202
- ISSN
- 2520-1131 (ISSN-L)
- OpenAlex
- W2793600158
- Cited by
- 227
- References
- 5
- FWCI
- 26.61
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Hardware-intrinsic security primitives enabled by analogue state and nonlinear conductance variations in integrated memristors. https://app.cochat.ai/papers/10.1038/s41928-018-0039-7
- The paper
- Nili, H., Adam, G. C., Hoskins, B., Prezioso, M., Kim, J., Mahmoodi, M. R., Bayat, F. M., Kavehei, O., & Strukov, D. B. (2018). Hardware-intrinsic security primitives enabled by analogue state and nonlinear conductance variations in integrated memristors. Nature Electronics. https://doi.org/10.1038/s41928-018-0039-7
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
