Near-ideal in-memory sensing and computing devices using ferroelectrics
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Abstract
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Research context
OpenAlex topics: Advanced Memory and Neural Computing · Ferroelectric and Negative Capacitance Devices · Neuroscience and Neural Engineering
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References (4)
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1. Zhou, F. & Chai, Y. Near-sensor and in-sensor computing. Nat. Electron. 3, 664–671 (2020). A review article on the development of near-sensor and in-sensor computing.10.1038/s41928-020-00501-9 ↗
2. Kumar, S., Wang, X., Strachan, J. P., Yang, Y. & Lu, W. D. Dynamical memristors for higher-complexity neuromorphic computing. Nat. Rev. Mater. 7, 575–591 (2022). A review article that discusses how memristor devices enable complex dynamics.10.1038/s41578-022-00434-z ↗
3. Mennel, L. et al. Ultrafast machine vision with 2D material neural network image sensors. Nature 579, 62–66 (2020). This paper reports an artificial neural network vision sensor for ultrafast recognition and encoding of optical images.10.1038/s41586-020-2038-x ↗
4. Wu, G. et al. Programmable transition metal dichalcogenide homojunctions controlled by nonvolatile ferroelectric domains. Nat. Electron. 3, 43–50 (2020). This paper reports a doping method for 2D materials that uses ferroelectric domains.10.1038/s41928-019-0350-y ↗