The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.
Organic Biomimicking Memristor for Information Storage and Processing Applications
Abstract
History-dependent memristive behaviors, which can emulate the plasticity, short-term memory to long-term memory transition, and the learning function of biological synapses, are demonstrated in viologen/triphenylamine-containing polymer organic redox system. Together with the advantages of mechanical flexibility and deformability, organic resistive switching materials and devices are promising candidates for the construction of large-scale neuromorphic networks and smart computers.
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
Nanoscale Memristor Device as Synapse in Neuromorphic Systems
Jo, S. H., Chang, T., Ebong, I., Bhadviya, B. B., Mazumder, P., & Lu, W. (2010) · Nano Letters · doi:10.1021/nl904092h · Cited by 4,174
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
Memristive devices and systems
Chua, L. O., & Kang, S. M. (1976) · Proceedings of the IEEE · doi:10.1109/proc.1976.10092 · Cited by 2,604
Activity-dependent scaling of quantal amplitude in neocortical neurons
Turrigiano, G. G., Leslie, K. R., Desai, N. S., Rutherford, L. C., & Nelson, S. B. (1998) · Nature · doi:10.1038/36103 · Cited by 2,226
Spike Timing–Dependent Plasticity: A Hebbian Learning Rule
Caporale, N., & Dan, Y. (2008) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.31.060407.125639 · Cited by 1,997
Tripartite synapses: astrocytes process and control synaptic information
Perea, G., Navarrete, M., & Araque, A. (2009) · Trends in Neurosciences · doi:10.1016/j.tins.2009.05.001 · Cited by 1,820
Short-term plasticity and long-term potentiation mimicked in single inorganic synapses
Ohno, T., Hasegawa, T., Tsuruoka, T., Terabe, K., Gimzewski, J. K., & Aono, M. (2011) · Nature Materials · doi:10.1038/nmat3054 · Cited by 1,793
Resistance switching memories are memristors
Chua, L. (2011) · Applied Physics A · doi:10.1007/s00339-011-6264-9 · Cited by 1,434
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
An Oxide Schottky Junction Artificial Optoelectronic Synapse
Gao, S., Liu, G., Yang, H., Hu, C., Chen, Q., Gong, G., Xue, W., Yi, X., Shang, J., & Li, R.-W. (2019) · ACS Nano · doi:10.1021/acsnano.9b00340 · Cited by 494
Self-citationThe Future of Memristors: Materials Engineering and Neural Networks
Sun, K., Chen, J., & Yan, X. (2021) · Advanced Functional Materials · doi:10.1002/adfm.202006773 · Cited by 482
Recent Progress in Three‐Terminal Artificial Synapses: From Device to System
Han, H., Yu, H., Wei, H., Gong, J., & Xu, W. (2019) · Small · doi:10.1002/smll.201900695 · Cited by 348
Short-Term Plasticity and Long-Term Potentiation in Artificial Biosynapses with Diffusive Dynamics
Kim, M.-K., & Lee, J.-S. (2018) · ACS Nano · doi:10.1021/acsnano.7b08331 · Cited by 294
Metadata
- Authors
- Liu, G., Wang, C., Zhang, W., Pan, L., Zhang, C., Yang, X., Fan, F., Chen, Y., & Li, R.
- Venue
- Advanced Electronic Materials
- Publisher
- Wiley
- Published
- 2015-11-24
- Volume
- 2
- Issue
- 2
- ISSN
- 2199-160X (ISSN-L)
- OpenAlex
- W2180403843
- Cited by
- 255
- References
- 17
- FWCI
- 5.93
- 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: Organic Biomimicking Memristor for Information Storage and Processing Applications. https://app.cochat.ai/papers/10.1002/aelm.201500298
- The paper
- Liu, G., Wang, C., Zhang, W., Pan, L., Zhang, C., Yang, X., Fan, F., Chen, Y., & Li, R. (2016). Organic Biomimicking Memristor for Information Storage and Processing Applications. Advanced Electronic Materials. https://doi.org/10.1002/aelm.201500298
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.
