The DOI matches its Crossref record; 89 of the 89 references it cites were found in a registry or an index.
Understanding memristive switching via in situ characterization and device modeling
Open accessAbstract
Owing to their attractive application potentials in both non-volatile memory and unconventional computing, memristive devices have drawn substantial research attention in the last decade. However, major roadblocks still remain in device performance, especially concerning relatively large parameter variability and limited cycling endurance. The response of the active region in the device within and between switching cycles plays the dominating role, yet the microscopic details remain elusive. This Review summarizes recent progress in scientific understanding of the physical origins of the non-idealities and propose a synergistic approach based on in situ characterization and device modeling to investigate switching mechanism. At last, the Review offers an outlook for commercialization viability of memristive technology.
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Cites
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Self-citationThe future of electronics based on memristive systems
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Cited by
Zhang, Y., Mao, G.-Q., Zhao, X., Li, Y., Zhang, M., Wu, Z., Wu, W., Sun, H., Guo, Y., Wang, L., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-27575-z · Cited by 300
Jang, J., Gi, S., Yeo, I., Choi, S., Jang, S., Ham, S., Lee, B., & Wang, G. (2022) · Advanced Science · doi:10.1002/advs.202201117 · Cited by 68
Framework for In-Memory Computing Based on Memristor and Memcapacitor for On-Chip Training
Singh, A., & Lee, B.-G. (2023) · IEEE Access · doi:10.1109/access.2023.3324375 · Cited by 19
“…such as driver resistance, sensing resistance, sneak paths, interconnect parasitics, analog-to-digital converter (ADC) and digital-to-analog converter (DAC) nonlinearity, stochastic write operations, and process variations, can introduce errors into the computed VMM [7], [8], [9], [10], [11].”
BackgroundExperimentally-Validated Crossbar Model for Defect-Aware Training of Neural Networks
Mao, R., Wen, B., Jiang, M., Chen, J., & Li, C. (2022) · IEEE Transactions on Circuits and Systems II: Express Briefs · doi:10.1109/tcsii.2022.3160591 · Cited by 14
Metadata
- Authors
- Sun, W., Gao, B., Chi, M., Xia, Q., Yang, J. J., Qian, H., & Wu, H.
- Venue
- Nature Communications
- Published
- 2019-08-01
- Volume
- 10
- Issue
- 1
- Pages
- 3453-3453
- ISSN
- 2041-1723 (ISSN-L)
- OpenAlex
- W2965933955
- Cited by
- 482
- References
- 89
- FWCI
- 16.30
- Type
- journal article
- Language
- en
- Open access
- gold
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