Silicon-based dual-gate photodiodes with electrostatically controlled photocurrents can be used to create imaging systems that can compute incoming visual data.
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References
Mead, C. Proc. IEEE 78, 1629–1636 (1990).
Kyuma, K. et al. Nature 372, 197–198 (1994).
Mennel, L. et al. Nature 579, 62–66 (2020).
Chai, Y. Nature 579, 32–33 (2020).
Zhou, F. & Chai, Y. Nat. Electron. 3, 664–671 (2020).
Jang, H. et al. Nat. Electron. https://doi.org/10.1038/s41928-022-00819-6 (2022).
Zhou, F. et al. Nat. Nanotechnol. 14, 776–782 (2019).
Liao, F. et al. Nat. Electron. 5, 84–91 (2022).
Yoon, J. et al. Nat. Commun. 9, 417 (2018).
Kumar, M., Kim, H. S. & Kim, J. Adv. Mater. 31, 1900021 (2019).
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Chai, Y. Silicon photodiodes that multiply. Nat Electron 5, 483–484 (2022). https://doi.org/10.1038/s41928-022-00822-x
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DOI: https://doi.org/10.1038/s41928-022-00822-x
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