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Genetic Algorithm Optimization of Core-Shell...
Journal article

Genetic Algorithm Optimization of Core-Shell Nanowire Betavoltaic Generators

Abstract

Numerical optimization has been used to determine the optimum junction design for core-shell nanowires used in betavoltaic generators. A genetic algorithm has been used to calculate the relative thickness, height, and doping of each segment within silicon, gallium arsenide, and gallium phosphide nanowires. Using the simulated spectra and energy deposition of nickel-63, nickel citrate, tritium, and tritiated butyl, devices with power output and …

Authors

Wagner DL; Novog DR; LaPierre RR

Journal

Nanotechnology, Vol. 31, No. 45,

Publisher

IOP Publishing

Publication Date

November 6, 2020

DOI

10.1088/1361-6528/aba86d

ISSN

0957-4484

Labels

Sustainable Development Goals (SDG)