The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Access devices for 3D crosspoint memory
Open accessAbstract
The emergence of new nonvolatile memory (NVM) technologies—such as phase change memory, resistive, and spin-torque-transfer magnetic RAM—has been motivated by exciting applications such as storage class memory, embedded nonvolatile memory, enhanced solid-state disks, and neuromorphic computing. Many of these applications call for such NVM devices to be packed densely in vast “crosspoint” arrays offering many gigabytes if not terabytes of solid-state storage. In such arrays, access to any small subset of the array for accurate reading or low-power writing requires a strong nonlinearity in the IV characteristics, so that the currents passing through the selected devices greatly exceed the residual leakage through the nonselected devices. This nonlinearity can either be included explicitly, by adding a discrete access device at each crosspoint, or implicitly with an NVM device which also exhibits a highly nonlinear IV characteristic. This article reviews progress made toward implementing such access device functionality, focusing on the need to stack such crosspoint arrays vertically above the surface of a silicon wafer for increased effective areal density. The authors start with a brief overview of circuit-level considerations for crosspoint memory arrays, and discuss the role of the access device in minimizing leakage through the many nonselected cells, while delivering the right voltages and currents to the selected cell. The authors then summarize the criteria that an access device must fulfill in order to enable crosspoint memory. The authors review current research on various discrete access device options, ranging from conventional silicon-based semiconductor devices, to oxide semiconductors, threshold switch devices, oxide tunnel barriers, and devices based on mixed-ionic-electronic-conduction. Finally, the authors discuss various approaches for self-selected nonvolatile memories based on Resistive RAM.
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How We Found The Missing Memristor
Williams, R. (2008) · IEEE Spectrum · doi:10.1109/mspec.2008.4687366 · Cited by 697
Chen, A. (2013) · IEEE Transactions on Electron Devices · doi:10.1109/ted.2013.2246791 · Cited by 230
Nanoscale resistive memory with intrinsic diode characteristics and long endurance
Kim, K.-H., Hyun Jo, S., Gaba, S., & Lu, W. (2010) · Applied Physics Letters · doi:10.1063/1.3294625 · Cited by 187
Liang, J., Yeh, S., Wong, S. S., & Wong, H.-S. P. (2013) · ACM Journal on Emerging Technologies in Computing Systems · doi:10.1145/2422094.2422103 · Cited by 71
Lee, H. D., Kim, S. G., Cho, K., Hwang, H., Choi, H., Lee, J., Lee, S. H., Lee, H. J., Suh, J., Chung, S.-O., et al. (2012) · 2012 Symposium on VLSI Technology (VLSIT) · doi:10.1109/vlsit.2012.6242506 · Cited by 68
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Sebastian, A., Le Gallo, M., Khaddam-Aljameh, R., & Eleftheriou, E. (2020) · Nature Nanotechnology · doi:10.1038/s41565-020-0655-z · Cited by 2,289
Equivalent-accuracy accelerated neural-network training using analogue memory
Ambrogio, S., Narayanan, P., Tsai, H., Shelby, R. M., Boybat, I., di Nolfo, C., Sidler, S., Giordano, M., Bodini, M., Farinha, N. C. P., et al. (2018) · Nature · doi:10.1038/s41586-018-0180-5 · Cited by 1,151
Self-citationEmerging Memory Technologies: Recent Trends and Prospects
Yu, S., & Chen, P.-Y. (2016) · IEEE Solid-State Circuits Magazine · doi:10.1109/mssc.2016.2546199 · Cited by 555
Recent Progress in Phase-ChangeMemory Technology
Burr, G. W., BrightSky, M. J., Sebastian, A., Cheng, H.-Y., Wu, J.-Y., Kim, S., Sosa, N. E., Papandreou, N., Lung, H.-L., Pozidis, H., et al. (2016) · IEEE Journal on Emerging and Selected Topics in Circuits and Systems · doi:10.1109/jetcas.2016.2547718 · Cited by 393
Self-citationAmirsoleimani, A., Alibart, F., Yon, V., Xu, J., Pazhouhandeh, M. R., Ecoffey, S., Beilliard, Y., Genov, R., & Drouin, D. (2020) · Advanced Intelligent Systems · doi:10.1002/aisy.202000115 · Cited by 216
Metadata
- Authors
- Burr, G. W., Shenoy, R. S., Virwani, K., Narayanan, P., Padilla, A., Kurdi, B., & Hwang, H.
- Venue
- Journal of Vacuum Science & Technology B, Nanotechnology and Microelectronics: Materials, Processing, Measurement, and Phenomena
- Publisher
- American Vacuum Society
- Published
- 2014-07-01
- Volume
- 32
- Issue
- 4
- ISSN
- 2166-2746 (ISSN-L)
- 2166-2754
- OpenAlex
- W1999871211
- Cited by
- 371
- References
- 6
- FWCI
- 16.45
- Type
- journal article
- Language
- en
- Open access
- green
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- Burr, G. W., Shenoy, R. S., Virwani, K., Narayanan, P., Padilla, A., Kurdi, B., & Hwang, H. (2014). Access devices for 3D crosspoint memory. Journal of Vacuum Science & Technology B, Nanotechnology and Microelectronics: Materials, Processing, Measurement, and Phenomena. https://doi.org/10.1116/1.4889999
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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