Chenchen Xie

Nov 15, 2024 | mdpi.com | Qingyu Wu |Chenchen Xie |Sannian Song |Xing Ding

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Nov 7, 2024 | onlinelibrary.wiley.com | Luchang He |Chenchen Xie |Qingyu Wu |Liping Xu

References 1, , and , “A Colpitts Oscillator-Based Self-Starting Boost Converter for Thermoelectric Energy Harvesting With 40-mV Startup Voltage and 75% Maximum Efficiency,” IEEE Journal of Solid-State Circuits 53, no. 11 (2018): 3293–3302, https://doi.org/10.1109/JSSC.2018.2863951. 2 and , “A 220-mV Power-on-Reset Based Self-Starter With 2-nW Quiescent Power for Thermoelectric Energy Harvesting Systems,” IEEE Transactions on Circuits and Systems I: Regular Papers 64, no.

Jul 29, 2023 | onlinelibrary.wiley.com | Longhao Yan |Qingyu Wu |Chenchen Xie |Xilin Zhou

Abstract Neural architecture search (NAS), as a subfield of automated machine learning, can design neural network models with better performance than manual design. However, the energy and time consumptions of conventional software-based NAS are huge, hindering its development and applications. Herein, 4 Mb phase change memory (PCM) chips are first fabricated that enable two key in-memory computing operations—in-memory multiply-accumulate (MAC) and in-memory rank for efficient NAS.