Two-dimensional ambipolar van der Waals heterostructures enabling in-sensor computing for high-accuracy image recognition
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OpenAlex topics: Advanced Memory and Neural Computing · 2D Materials and Applications · Graphene research and applications
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References (8)
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1. Tong L, Peng Z, Lin R, et al. 2D materials—based homogeneous transistor-memory architecture for neuromorphic hardware. Science, 2021, 373: 1353–135810.1126/science.abg3161 ↗
2. Mennel L, Symonowicz J, Wachter S, et al. Ultrafast machine vision with 2D material neural network image sensors. Nature, 2020, 579: 62–6610.1038/s41586-020-2038-x ↗
3. Wang CY, Liang SJ, Wang S, et al. Gate-tunable van der Waals heterostructure for reconfigurable neural network vision sensor. Sci Adv, 2020, 6: eaba617310.1126/sciadv.aba6173 ↗
4. Zhou F, Chai Y. Near-sensor and in-sensor computing. Nat Electron, 2020, 3: 664–67110.1038/s41928-020-00501-9 ↗
5. Yao P, Wu H, Gao B, et al. Fully hardware-implemented memristor convolutional neural network. Nature, 2020, 577: 641–64610.1038/s41586-020-1942-4 ↗
6. Zhou F, Zhou Z, Chen J, et al. Optoelectronic resistive random access memory for neuromorphic vision sensors. Nat Nanotechnol, 2019, 14: 776–78210.1038/s41565-019-0501-3 ↗
7. Wang D, Liu X, Kang Y, et al. Bidirectional photocurrent in p—n heterojunction nanowires. Nat Electron, 2021, 4: 645–65210.1038/s41928-021-00640-7 ↗
8. Pi L, Wang P, Liang SJ, et al. Broadband convolutional processing using band-alignment-tunable heterostructures. Nat Electron, 2022, 5: 248–25410.1038/s41928-022-00747-5 ↗