The DOI matches its Crossref record; 45 of the 45 references it cites were found in a registry or an index.
The Past, the Present, and the Future of Ferroelectric Memories
Abstract
Ferroelectric materials are characterized by two stable polarization states that can be switched from one to another by applying an electrical field. As one of the most promising effects to realize nonvolatile memories (NVMs), the application of ferroelectrics in NVMs has been studied since the 1950s. In principle, three different ways to read out the ferroelectric polarization are known: measuring the charge-related current that flows during switching of the ferroelectric, measuring the polarization-dependent tunneling current in very thin ferroelectric layers, and measuring the threshold voltage shift of a ferroelectric field effect transistor caused by the polarization change of the ferroelectric integrated into the gate stack. While early attempts used bulk ferroelectric crystals, the first commercial success was reached when the concept was integrated into a MOS process. However, all materials that were known to exhibit ferroelectricity had a very complicated structure, thus making the integration troublesome and leading to a very slow scaling and limiting its application to niche markets. With the discovery of ferroelectricity in hafnium oxide in 2011, the new impetus came into the field for all three variants described above. This article will describe the history of ferroelectric memories and its current status both with respect to the commercialization of ferroelectric memories based on traditional ferroelectric materials and the ongoing research and development activities employing the more recently discovered ferroelectricity in hafnium oxide. This finally leads us to an outlook of the future challenges for ferroelectric memories.
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Cites
Ferroelectricity in hafnium oxide thin films
Böscke, T. S., Müller, J., Bräuhaus, D., Schröder, U., & Böttger, U. (2011) · Applied Physics Letters · doi:10.1063/1.3634052 · Cited by 2,832
Use of Negative Capacitance to Provide Voltage Amplification for Low Power Nanoscale Devices
Salahuddin, S., & Datta, S. (2008) · Nano Letters · doi:10.1021/nl071804g · Cited by 2,164
Scott, J. F. (2000) · Springer Series in Advanced Microelectronics · doi:10.1007/978-3-662-04307-3 · Cited by 1,424
Tunneling Across a Ferroelectric
Tsymbal, E. Y., & Kohlstedt, H. (2006) · Science · doi:10.1126/science.1126230 · Cited by 897
Ferroelectric tunnel junctions for information storage and processing
Garcia, V., & Bibes, M. (2014) · Nature Communications · doi:10.1038/ncomms5289 · Cited by 896
Parallel programming of an ionic floating-gate memory array for scalable neuromorphic computing
Fuller, E. J., Keene, S. T., Melianas, A., Wang, Z., Agarwal, S., Li, Y., Tuchman, Y., James, C. D., Marinella, M. J., Yang, J. J., et al. (2019) · Science · doi:10.1126/science.aaw5581 · Cited by 756
Solid-state memories based on ferroelectric tunnel junctions
Chanthbouala, A., Crassous, A., Garcia, V., Bouzehouane, K., Fusil, S., Moya, X., Allibe, J., Dlubak, B., Grollier, J., Xavier, S., et al. (2012) · Nature Nanotechnology · doi:10.1038/nnano.2011.213 · Cited by 628
A FeFET based super-low-power ultra-fast embedded NVM technology for 22nm FDSOI and beyond
Dunkel, S., Trentzsch, M., Richter, R., Moll, P., Fuchs, C., Gehring, O., Majer, M., Wittek, S., Muller, B., Melde, T., et al. (2017) · 2017 IEEE International Electron Devices Meeting (IEDM) · doi:10.1109/iedm.2017.8268425 · Cited by 540
Self-citationWhy is nonvolatile ferroelectric memory field-effect transistor still elusive?
Ma, T. P., & Han, J.-P. (2002) · IEEE Electron Device Letters · doi:10.1109/led.2002.1015207 · Cited by 522
Impact of different dopants on the switching properties of ferroelectric hafniumoxide
Schroeder, U., Yurchuk, E., Müller, J., Martin, D., Schenk, T., Polakowski, P., Adelmann, C., Popovici, M. I., Kalinin, S. V., & Mikolajick, T. (2014) · Japanese Journal of Applied Physics · doi:10.7567/jjap.53.08le02 · Cited by 410
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Cited by
2022 roadmap on neuromorphic computing and engineering
Christensen, D. V., Dittmann, R., Linares-Barranco, B., Sebastian, A., Le Gallo, M., Redaelli, A., Slesazeck, S., Mikolajick, T., Spiga, S., Menzel, S., et al. (2022) · Neuromorphic Computing and Engineering · doi:10.1088/2634-4386/ac4a83
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Metadata
- Authors
- Mikolajick, T., Schroeder, U., & Slesazeck, S.
- Venue
- IEEE Transactions on Electron Devices
- Published
- 2020-04
- Volume
- 67
- Issue
- 4
- Pages
- 1434-1443
- ISSN
- 0018-9383 (ISSN-L)
- 1557-9646
- OpenAlex
- W3011088493
- Cited by
- 486
- References
- 45
- FWCI
- 18.74
- Type
- journal article
- Language
- en
- Open access
- closed
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