Open AccessGenetic-based optimization of a multi insulator tunneling diode for THz energy harvesting
Author(s) -
Mazen Shanawani,
Diego Masotti,
Alessandra Costanzo
Publication year - 2020
Publication title -
wireless power transfer
Language(s) - English
Resource type - Journals
ISSN - 2052-8418
DOI - 10.1017/wpt.2020.8
Subject(s) - responsivity , figure of merit , insulator (electricity) , quantum tunnelling , diode , computer science , terahertz radiation , voltage , energy harvesting , optoelectronics , electronic engineering , energy (signal processing) , electrical engineering , physics , engineering , telecommunications , detector , quantum mechanics
The deployment of multi-insulator tunneling diodes has recently had more attention to be used as rectifiers in energy harvesting rectennas with good potentiality for a millimeter and terahertz range. However, with the rather complicated math to obtain the current–voltage relation, it is difficult to evaluate the design figures of merit (FOM)s such as asymmetry, nonlinearity, responsivity, and dynamic resistance and monitor the impact of changing physical parameters on them. This complicates the decision-making process for the required physical parameters. In this work, a heuristic optimization framework using genetic algorithm is suggested using the transfer matrix method to find the combination of physical parameters which satisfies the minimum required FOM set by users and weighted by their preference.