References
Chen W-H, Li K-X, Lin W-Y, et al. A 65nm 1Mb non-volatile computing-in-memory ReRAM macro with sub-16ns multiply-and-accumulate for binary DNN AI edge processors. In: Proceedings of IEEE International Solid-State Circuits Conference-(ISSCC), 2018
Wu J Y, Chen Y S, Khwa W S, et al. A 40nm low-power logic compatible phase change memory technology. In: Proceedings of IEEE International Electron Devices Meeting (IEDM), 2018
Slesazeck S, Havel V, Breyer E, et al. Uniting the trinity of ferroelectric HfO2 memory devices in a single memory cell. In: Proceedings of IEEE 11th International Memory Workshop (IMW), 2019
Hassan H, Patel M, Kim J S, et al. CROW: a low-cost substrate for improving DRAM performance, energy efficiency, and reliability. In: Proceedings of ACM/IEEE 46th Annual International Symposium on Computer Architecture (ISCA), 2019
Slesazeck S, Ravsher T, Havel V, et al. A 2TnC ferroelectric memory gain cell suitable for compute-in-memory and neuromorphic application. In: Proceedings of IEEE International Electron Devices Meeting (IEDM), 2019
Wang Q, Zhang D L, Zhao Y L, et al. A 1T2C FeCAP-based in-situ bitwise X(N)OR logic operation with two-step write-back circuit for accelerating compute-in-memory. Micromachines, 2021, 12: 385
Aziz A, Ghosh S, Datta S, et al. Physics-based circuit-compatible SPICE model for ferroelectric transistors. IEEE Electron Device Lett, 2016, 37: 805–808
Acknowledgements
This work was supported in part by National Key R&D Program of China (Grant No. 2019YFB2204800), Major Scientific Research Project of Zhejiang Lab (Grant No. 2019KC0AD02), National Natural Science Foundation of China (Grant Nos. 61904200, 92164204, 62025406), and Strategic Priority Research Program of the Chinese Academy of Sciences (Grant No. XDB44000000).
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Appendixes A–D. The supporting information is available online at info.scichina.com and link.springer.com. The supporting materials are published as submitted, without typesetting or editing. The responsibility for scientific accuracy and content remains entirely with the authors.
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Zhao, Y., Wang, Y., Zhang, D. et al. A Hf0.5Zr0.5O2 ferroelectric capacitor-based half-destructive read scheme for computing-in-memory. Sci. China Inf. Sci. 66, 159402 (2023). https://doi.org/10.1007/s11432-021-3490-3
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DOI: https://doi.org/10.1007/s11432-021-3490-3