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A High-Efficiency Magnetoelectric Power Link With a Load-Adaptive CMOS Rectifier for Miniaturized Implants

A High-Efficiency Magnetoelectric Power Link With a Load-Adaptive CMOS Rectifier for Miniaturized Implants 150 150
Author(s): Yasemin Engür, Mingxiang Gao, Niels Kuster, Mahsa Shoaran

Abstract:

Miniaturized biomedical implants are currently constrained by limited wireless power transfer (WPT) efficiency under load variation and spatial misalignment. This work presents a custom magnetoelectric (ME) power link incorporating a load-adaptive CMOS rectifier to address these challenges. By employing a current sensing control loop for dynamic switch sizing and delay …

Published in: IEEE Solid-State Circuits Letters
Page(s): 125 – 128
Year of Publication: 2026
Electronic ISSN: 2573-9603
DOI: 10.1109/LSSC.2026.3679620
Publisher: IEEE

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A 28-nm Digital Transpose SRAM Compute-in-Memory Macro With Accurate/Approximate Dual Mode for Floating-Point Edge Training and Inference

A 28-nm Digital Transpose SRAM Compute-in-Memory Macro With Accurate/Approximate Dual Mode for Floating-Point Edge Training and Inference 150 150
Author(s): Yiyang Yuan, Bingxin Zhang, Yiming Yang, Yishan Luo, Qirui Chen, Haitao Wang, Qihao Liu, Zhiming Chen, Hao Wu, Jinshan Yue, Shidong Lv, Xinghua Wang, Pui-In Mak, Xiaoran Li, Feng Zhang

Abstract:

Static random-access memory (SRAM)-based computing-in-memory (CIM) macros have been widely studied to improve the energy efficiency of edge artificial intelligence (AI) inference tasks. However, less attention has been given to AI training, which requires CIM macros to not only perform matrix multiply-accumulate (MAC) operations but also support matrix transposition. …

Published in: IEEE Journal of Solid-State Circuits
Page(s): 1 – 13
Year of Publication: 2026
Electronic ISSN: 1558-173X
DOI: 10.1109/JSSC.2026.3679560
Publisher: IEEE

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