A 99.9% Efficient, Ultra-Low Power Automated On/Off Adaptive MPPT Circuit for RF, PV, and TEG Sources From 1 μ W to 4 mW
Year: 2025
Type: article
Authors: Mostafa Abedi, Aatmesh Shrivastava
Institution: Northeastern University
Language: English
Topic: Advanced DC-DC Converters
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: closed
Funder: National Science Foundation
Awards: CAREER: An Ultra-low Power Analog Computing Hardware Design Framework for Machine Learning Inference in Edge Biomedical Devices, Energy and Activity Analysis based On-chip methods for Mitigating Denial-of-Sleep Attacks in Ultra-low Power IoT Devices, High Efficiency Distributed Beamforming RF Energy Transfer using a Closed-loop Energy Receiver
OpenAlex ID: W4414008255