The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
Recent Advances in Memristive Materials for Artificial Synapses
Open accessAbstract
Neuromorphic architectures are in the spotlight as promising candidates for substituting current computing systems owing to their high operation speed, scale‐down ability, and, especially, low energy consumption. Among candidate materials, memristors have shown excellent synaptic behaviors such as spike time‐dependent plasticity and spike rate‐dependent plasticity by gradually changing their resistance state according to electrical input stimuli. Memristor can work as a single synapse without programming support, which remarkably satisfies the requirements of neuromorphic computing. Here, the most recent developments in memristor‐based artificial synapses are introduced with their excellent synaptic behaviors accompanied with detailed explanation of their working mechanisms. As conventional memristive materials, metal oxides are reviewed with recent advancements in heterojunction technologies. An overview of organic materials is presented with their remarkable synaptic behaviors including their advantages of biocompatibility, low cost, complementary metal‐oxide semiconductor compatibility, and ductility. 2D materials are also introduced as promising candidates for artificial synapses owing to their flexibility and scalability. As emerging materials, halide perovskites and low‐dimensional materials are presented with their synaptic behaviors. In the last section, future challenges and research directions are discussed. This review article is hoped to be a guide to rational materials design for the artificial synapses of neuromorphic computing.
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Cites
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Cited by
Pham, P. V., Bodepudi, S. C., Shehzad, K., Liu, Y., Xu, Y., Yu, B., & Duan, X. (2022) · Chemical Reviews · doi:10.1021/acs.chemrev.1c00735 · Cited by 708
2D Material Based Synaptic Devices for Neuromorphic Computing
Cao, G., Meng, P., Chen, J., Liu, H., Bian, R., Zhu, C., Liu, F., & Liu, Z. (2021) · Advanced Functional Materials · doi:10.1002/adfm.202005443 · Cited by 382
Neuro-inspired electronic skin for robots
Liu, F., Deswal, S., Christou, A., Sandamirskaya, Y., Kaboli, M., & Dahiya, R. (2022) · Science Robotics · doi:10.1126/scirobotics.abl7344 · Cited by 300
Linearly programmable two-dimensional halide perovskite memristor arrays for neuromorphic computing
Kim, S. J., Im, I. H., Baek, J. H., Choi, S., Park, S. H., Lee, D. E., Kim, J. Y., Kim, S. Y., Park, N.-G., Lee, D., et al. (2025) · Nature Nanotechnology · doi:10.1038/s41565-024-01790-3 · Cited by 157
Self-citation
Metadata
- Authors
- Kim, S. G., Han, J. S., Kim, H., Kim, S. Y., & Jang, H. W.
- Venue
- Advanced Materials Technologies
- Publisher
- Wiley
- Published
- 2018-11-08
- Volume
- 3
- Issue
- 12
- ISSN
- 2365-709X (ISSN-L)
- OpenAlex
- W2899814233
- Cited by
- 272
- References
- 15
- FWCI
- 7.53
- Type
- journal article
- Language
- en
- Open access
- hybrid
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