The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Simulation of multilevel switching in electrochemical metallization memory cells
Abstract
We report on a simulation model for bipolar resistive switching in cation-migration based memristive devices. The model is based on the electrochemical driven growth and dissolution of a metallic filament. The origin of multilevel switching is proposed to be direct tunneling between the growing filament and the counter electrode. An important result of our parameter simulation studies is that different materials show the same experimental multilevel behavior. Our model fully reproduces the experimental data and allows for an explanation of the transition from bipolar to nonpolar switching.
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
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
Self-citationNanoionics-based resistive switching memories
Waser, R., & Aono, M. (2007) · Nature Materials · doi:10.1038/nmat2023 · Cited by 4,923
Self-citationResistance switching memories are memristors
Chua, L. (2011) · Applied Physics A · doi:10.1007/s00339-011-6264-9 · Cited by 1,434
Schindler, C., Staikov, G., & Waser, R. (2009) · Applied Physics Letters · doi:10.1063/1.3077310 · Cited by 307
Self-citation
Research works printed but not linked: 19
- 2010, Proc. IEEE, 98, 283, 10.1109/JPROC.2009.2035147 · DOI
- 2010, Proc. IEEE, 98, 2228, 10.1109/JPROC.2010.2061830 · DOI
- 2010, Nanotechnology, 21, 425205, 10.1088/0957-4484/21/42/425205 · DOI · Paper page
- 2008, IEEE Electron Device Lett., 29, 434, 10.1109/LED.2008.919602 · DOI · Paper page
- 2007, IEEE Trans. Electron Devices, 54, 2762, 10.1109/TED.2007.904402 · DOI · Paper page
- 2009, Mater. Res. Soc. Symp. Proc., 1160, 101, 10.1557/PROC-1160-H09-03 · DOI
- 2009, IEEE Trans. Electron Devices, 56, 1040, 10.1109/TED.2009.2016019 · DOI · Paper page
- 2011, IEEE Trans. Electron Devices, 58, 1352, 10.1109/TED.2011.2116120 · DOI · Paper page
- 2011, Microelectron. Eng., 88, 814, 10.1016/j.mee.2010.06.041 · DOI
- 2009, Resistive switching in electrochemical metallization memory cells
- 1998, Nature, 394, 154, 10.1038/28112 · doi:10.1038/28112
- 2011, Appl. Phys. A: Mater. Sci. Process., 102, 851, 10.1007/s00339-011-6269-4 · DOI
- 2011, Nanotechnology, 22, 254022, 10.1088/0957-4484/22/25/254022 · DOI · Paper page
- 2007, Proceedings of the Non-Volatile Memory Techonology Symposium, 82
- 2006, Electrochem. Commun., 8, 577, 10.1016/j.elecom.2006.02.002 · DOI
- 2007, Electrochemistry
- 1834, Philos. Trans. R. Soc. London, 124, 77, 10.1098/rstl.1834.0008 · DOI · Paper page
- 1948, Electronic processes in ionic crystals
- 1963, J. Appl. Phys., 34, 1793, 10.1063/1.1702682 · DOI · Paper page
Cited by
A comprehensive review on emerging artificial neuromorphic devices
Zhu, J., Zhang, T., Yang, Y., & Huang, R. (2020) · Applied Physics Reviews · doi:10.1063/1.5118217 · Cited by 758
Nanobatteries in redox-based resistive switches require extension of memristor theory
Valov, I., Linn, E., Tappertzhofen, S., Schmelzer, S., van den Hurk, J., Lentz, F., & Waser, R. (2013) · Nature Communications · doi:10.1038/ncomms2784 · Cited by 587
Self-citationAHaH Computing–From Metastable Switches to Attractors to Machine Learning
Nugent, M. A., & Molter, T. W. (2014) · PLoS ONE · doi:10.1371/journal.pone.0085175 · Cited by 55
Thermodynamic-RAM technology stack
Nugent, M. A., & Molter, T. W. (2018) · International Journal of Parallel, Emergent and Distributed Systems · doi:10.1080/17445760.2017.1314472 · Cited by 23
Metadata
- Authors
- Menzel, S., Böttger, U., & Waser, R.
- Venue
- Journal of Applied Physics
- Publisher
- AIP Publishing
- Published
- 2012-01-01
- Volume
- 111
- Issue
- 1
- ISSN
- 0021-8979 (ISSN-L)
- 1089-7550
- OpenAlex
- W2009604146
- Cited by
- 166
- References
- 5
- FWCI
- 14.04
- Type
- journal article
- Language
- en
- Open access
- closed
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: Simulation of multilevel switching in electrochemical metallization memory cells. https://app.cochat.ai/papers/10.1063/1.3673239
- The paper
- Menzel, S., Böttger, U., & Waser, R. (2012). Simulation of multilevel switching in electrochemical metallization memory cells. Journal of Applied Physics. https://doi.org/10.1063/1.3673239
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.