133 citations · 319 across the 6 of their papers we have counts for
6 papers
A Miniature Batteryless Bioelectronic Implant Using One Magnetoelectric Transducer for Wireless Powering and PWM Backscatter Communication
Zhanghao Yu, Yiwei Zou, Huan-Cheng Liao +6
Wireless minimally invasive bioelectronic implants enable a wide range of applications in healthcare, medicine, and scientific research. Magnetoelectric (ME) wireless power transfe…
Omnidirectional Wireless Power Transfer for Millimetric Magnetoelectric Biomedical Implants
Wei Wang, Zhanghao Yu, Yiwei Zou +5
Miniature bioelectronic implants promise revolutionary therapies for cardiovascular and neurological disorders. Wireless power transfer (WPT) is a significant method for miniaturiz…
ASCH-PUF: A "Zero" Bit Error Rate CMOS Physically Unclonable Function with Dual-Mode Low-Cost Stabilization
Yan He, Dai Li, Zhanghao Yu +1
Physically unclonable functions (PUFs) are increasingly adopted for low-cost and secure secret key and chip ID generations for embedded and IoT devices. Achieving 100% reproducible…
Magnetoelectric Bio-Implants Powered and Programmed by a Single Transmitter for Coordinated Multisite Stimulation
Zhanghao Yu, Joshua C. Chen, Yan He +5
This article presents a hardware platform including stimulating implants wirelessly powered and controlled by a shared transmitter (TX) for coordinated leadless multisite stimulati…
MagNI: A Magnetoelectrically Powered and Controlled Wireless Neurostimulating Implant
Zhanghao Yu, Joshua C. Chen, Fatima T. Alrashdan +5
This paper presents the first wireless and programmable neural stimulator leveraging magnetoelectric (ME) effects for power and data transfer. Thanks to low tissue absorption, low…
CAP-RAM: A Charge-Domain In-Memory Computing 6T-SRAM for Accurate and Precision-Programmable CNN Inference
Zhiyu Chen, Zhanghao Yu, Qing Jin +6
A compact, accurate, and bitwidth-programmable in-memory computing (IMC) static random-access memory (SRAM) macro, named CAP-RAM, is presented for energy-efficient convolutional ne…