The DOI matches its Crossref record; 159 of the 159 references it cites were found in a registry or an index.
Small‐Molecule‐Based Organic Field‐Effect Transistor for Nonvolatile Memory and Artificial Synapse
Abstract
With the incorporation of tailorable organic electronic materials as channel and storage materials, organic field‐effect transistor (OFET)‐based memory has become one of the most promising data storage technologies for hosting a variety of emerging memory applications, such as sensory memory, storage memory, and neuromorphic computing. Here, the recent state‐of‐the‐art progresses in the use of small molecules for OFET nonvolatile memory and artificial synapses are comprehensively reviewed, focusing on the characteristic features of small molecules in versatile functional roles (channel, storage, modifier, and dopant). Techniques for optimizing the storage capacity, speed, and reliability of nonvolatile memory devices are addressed in detail. Insight into the use of small molecules in artificial synapses constructed on OFET memory is also obtained in this emerging field. Finally, the strategies of molecular design for improving memory performance in view of small molecules as storage mediums are discussed systematically, and challenges are addressed to shed light on the future development of this vital research field.
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Short-Term Synaptic Plasticity
Zucker, R. S., & Regehr, W. G. (2002) · Annual Review of Physiology · doi:10.1146/annurev.physiol.64.092501.114547 · Cited by 5,068
Loihi: A Neuromorphic Manycore Processor with On-Chip Learning
Davies, M., Srinivasa, N., Lin, T.-H., Chinya, G., Cao, Y., Choday, S. H., Dimou, G., Joshi, P., Imam, N., Jain, S., et al. (2018) · IEEE Micro · doi:10.1109/mm.2018.112130359 · Cited by 3,897
Ishii, H., Sugiyama, K., Ito, E., & Seki, K. (1999) · Advanced Materials · doi:10.1002/(sici)1521-4095(199906)11:8<605::aid-adma605>3.0.co;2-q · Cited by 3,188
Photochromism of Diarylethene Molecules and Crystals: Memories, Switches, and Actuators
Irie, M., Fukaminato, T., Matsuda, K., & Kobatake, S. (2014) · Chemical Reviews · doi:10.1021/cr500249p · Cited by 2,725
Synaptic plasticity: taming the beast
Abbott, L. F., & Nelson, S. B. (2000) · Nature Neuroscience · doi:10.1038/81453 · Cited by 2,263
The future of electronics based on memristive systems
Zidan, M. A., Strachan, J. P., & Lu, W. D. (2018) · Nature Electronics · doi:10.1038/s41928-017-0006-8 · Cited by 2,138
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
Long-Term Potentiation and Memory
LYNCH, M. A. (2004) · Physiological Reviews · doi:10.1152/physrev.00014.2003 · Cited by 1,991
Stabilizing triplet excited states for ultralong organic phosphorescence
An, Z., Zheng, C., Tao, Y., Chen, R., Shi, H., Chen, T., Wang, Z., Li, H., Deng, R., Liu, X., et al. (2015) · Nature Materials · doi:10.1038/nmat4259 · Cited by 1,944
Self-citationvan de Burgt, Y., Lubberman, E., Fuller, E. J., Keene, S. T., Faria, G. C., Agarwal, S., Marinella, M. J., Alec Talin, A., & Salleo, A. (2017) · Nature Materials · doi:10.1038/nmat4856 · Cited by 1,872
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Torricelli, F., Adrahtas, D. Z., Bao, Z., Berggren, M., Biscarini, F., Bonfiglio, A., Bortolotti, C. A., Frisbie, C. D., Macchia, E., Malliaras, G. G., et al. (2021) · Nature Reviews Methods Primers · doi:10.1038/s43586-021-00065-8 · Cited by 422
Ling, H., Koutsouras, D. A., Kazemzadeh, S., van de Burgt, Y., Yan, F., & Gkoupidenis, P. (2020) · Applied Physics Reviews · doi:10.1063/1.5122249 · Cited by 294
Self-citationNanostructured perovskites for nonvolatile memory devices
Liu, Q., Gao, S., Xu, L., Yue, W., Zhang, C., Kan, H., Li, Y., & Shen, G. (2022) · Chemical Society Reviews · doi:10.1039/d1cs00886b · Cited by 163
Metadata
- Authors
- Yu, Y., Ma, Q., Ling, H., Li, W., Ju, R., Bian, L., Shi, N., Qian, Y., Yi, M., Xie, L., & Huang, W.
- Venue
- Advanced Functional Materials
- Publisher
- Wiley
- Published
- 2019-09-19
- Volume
- 29
- Issue
- 50
- ISSN
- 1616-301X (ISSN-L)
- 1616-3028
- OpenAlex
- W2974885708
- Cited by
- 285
- References
- 159
- FWCI
- 12.69
- Type
- journal article
- Language
- en
- Open access
- closed
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- Yu, Y., Ma, Q., Ling, H., Li, W., Ju, R., Bian, L., Shi, N., Qian, Y., Yi, M., Xie, L., & Huang, W. (2019). Small‐Molecule‐Based Organic Field‐Effect Transistor for Nonvolatile Memory and Artificial Synapse. Advanced Functional Materials. https://doi.org/10.1002/adfm.201904602
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