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Genetic Algorithms Molecular Effect Model Optimization for High-temperature Superconductors Tin and Thallium ClassesBy Francisco Casesnoves
Abstract: Genetic algorithms software was applied in 3D Graphical and Interior Optimization methods for two high-temperature Superconductors (HTSCs) classes. Namely, Tin (Sn) class with (TC>0°), and Thallium (Tl) one subject to (TC˂0°, TC>0°) in Molecular Effect Model (MEM). Results include mathematical Tikhonov Regularization Functionals algorithms for this group of HTSCs without using logarithmic changes. Results also show the contrasts between these two classes for Molecular Effect Model (MEM) hypothesis. Solutions show …
Published in Recent Trends in Programming languages · Vol. 9, Issue 3, 2022 · pp. 1–16 Read article →