The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
Emerging memories: resistive switching mechanisms and current status
Open accessAbstract
The resistance switching behaviour of several materials has recently attracted considerable attention for its application in non-volatile memory (NVM) devices, popularly described as resistive random access memories (RRAMs). RRAM is a type of NVM that uses a material(s) that changes the resistance when a voltage is applied. Resistive switching phenomena have been observed in many oxides: (i) binary transition metal oxides (TMOs), e.g. TiO(2), Cr(2)O(3), FeO(x) and NiO; (ii) perovskite-type complex TMOs that are variously functional, paraelectric, ferroelectric, multiferroic and magnetic, e.g. (Ba,Sr)TiO(3), Pb(Zr(x) Ti(1-x))O(3), BiFeO(3) and Pr(x)Ca(1-x)MnO(3); (iii) large band gap high-k dielectrics, e.g. Al(2)O(3) and Gd(2)O(3); (iv) graphene oxides. In the non-oxide category, higher chalcogenides are front runners, e.g. In(2)Se(3) and In(2)Te(3). Hence, the number of materials showing this technologically interesting behaviour for information storage is enormous. Resistive switching in these materials can form the basis for the next generation of NVM, i.e. RRAM, when current semiconductor memory technology reaches its limit in terms of density. RRAMs may be the high-density and low-cost NVMs of the future. A review on this topic is of importance to focus concentration on the most promising materials to accelerate application into the semiconductor industry. This review is a small effort to realize the ambitious goal of RRAMs. Its basic focus is on resistive switching in various materials with particular emphasis on binary TMOs. It also addresses the current understanding of resistive switching behaviour. Moreover, a brief comparison between RRAMs and memristors is included. The review ends with the current status of RRAMs in terms of stability, scalability and switching speed, which are three important aspects of integration onto semiconductors.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Strukov, D. B., Snider, G. S., Stewart, D. R., & Williams, R. S. (2008) · Nature · doi:10.1038/nature06932 · Cited by 11,828
Memristor—The Missing Circuit Element
Chua, L. (1971) · IEEE Transactions on Circuit Theory · doi:10.1109/tct.1971.1083337 · Cited by 10,268
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
Nanoionics-based resistive switching memories
Waser, R., & Aono, M. (2007) · Nature Materials · doi:10.1038/nmat2023 · Cited by 4,923
Atomic structure of conducting nanofilaments in TiO2 resistive switching memory
Kwon, D.-H., Kim, K. M., Jang, J. H., Jeon, J. M., Lee, M. H., Kim, G. H., Li, X.-S., Park, G.-S., Lee, B., Han, S., et al. (2010) · Nature Nanotechnology · doi:10.1038/nnano.2009.456 · Cited by 2,092
Self-citationElectrical phenomena in amorphous oxide films
Dearnaley, G., Stoneham, A. M., & Morgan, D. V. (1970) · Reports on Progress in Physics · doi:10.1088/0034-4885/33/3/306 · Cited by 731
Memristor−CMOS Hybrid Integrated Circuits for Reconfigurable Logic
Xia, Q., Robinett, W., Cumbie, M. W., Banerjee, N., Cardinali, T. J., Yang, J. J., Wu, W., Li, X., Tong, W. M., Strukov, D. B., et al. (2009) · Nano Letters · doi:10.1021/nl901874j · Cited by 671
Nanoscale Memory Elements Based on Solid-State Electrolytes
Kozicki, M. N., Park, M., & Mitkova, M. (2005) · IEEE Transactions On Nanotechnology · doi:10.1109/tnano.2005.846936 · Cited by 540
Switching phenomena in titanium oxide thin films
Argall, F. (1968) · Solid-State Electronics · doi:10.1016/0038-1101(68)90092-0 · Cited by 308
A model for filament growth and switching in amorphous oxide films
Dearnaley, G., Morgan, D. V., & Stoneham, A. M. (1970) · Journal of Non-Crystalline Solids · doi:10.1016/0022-3093(70)90097-9 · Cited by 289
Cited by
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
Synaptic electronics: materials, devices and applications
Kuzum, D., Yu, S., & Philip Wong, H.-S. (2013) · Nanotechnology · doi:10.1088/0957-4484/24/38/382001 · Cited by 1,258
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
Self-citationHigh‐Speed and Low‐Energy Nitride Memristors
Choi, B. J., Torrezan, A. C., Strachan, J. P., Kotula, P. G., Lohn, A. J., Marinella, M. J., Li, Z., Williams, R. S., & Yang, J. J. (2016) · Advanced Functional Materials · doi:10.1002/adfm.201600680 · Cited by 356
Status and prospects of ZnO-based resistive switching memory devices
Simanjuntak, F. M., Panda, D., Wei, K.-H., & Tseng, T.-Y. (2016) · Nanoscale Research Letters · doi:10.1186/s11671-016-1570-y · Cited by 244
Metadata
- Authors
- Jeong, D. S., Thomas, R., Katiyar, R. S., Scott, J. F., Kohlstedt, H., Petraru, A., & Hwang, C. S.
- Venue
- Reports on Progress in Physics
- Publisher
- IOP Publishing
- Published
- 2012-06-28
- Volume
- 75
- Issue
- 7
- Pages
- 076502
- ISSN
- 0034-4885 (ISSN-L)
- 1361-6633
- OpenAlex
- W1994319933
- Cited by
- 1,106
- References
- 14
- FWCI
- 57.99
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Emerging memories: resistive switching mechanisms and current status. https://app.cochat.ai/papers/10.1088/0034-4885/75/7/076502
- The paper
- Jeong, D. S., Thomas, R., Katiyar, R. S., Scott, J. F., Kohlstedt, H., Petraru, A., & Hwang, C. S. (2012). Emerging memories: resistive switching mechanisms and current status. Reports on Progress in Physics. https://doi.org/10.1088/0034-4885/75/7/076502
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.