EVOLUTIONARY ALGORITHMS MOLECULAR EFFECT MODEL OPTIMIZATION FOR HIGH TEMPERATURE SUPERCONDUCTORS CUPRATES AND REVIEW OF TIN AND THALLIUM CLASSES

Authors

  • Francisco Casesnoves

Abstract

Genetic Algorithms (GA) Artificial Intelligence (AI) software was applied in 3D Graphical and Interior Optimization methods for several High Temperature Superconductors (HTSCs) classes. Namely, Hg-Cuprates HTSCs, [ Hg-Ba-Ca-Cu-O ] with [ TC > 0° ], and a extent review for Tin ( Sn ) class with [ TC > 0° ], and Thallium ( Tl ) one subject to [ TC ˂ 0° , TC > 0° ] in Molecular Effect Model (MEM). Results comprise both improvements and evaluation with Tikhonov Regularization Functionals algorithms for these HTSCs groups without using objective function logarithmic changes. Results also prove the differences among these classes for Molecular Effect Model (MEM) previously developed hypothesis. Solutions show a series of 2D/3D imaging process charts complemented with a group of numerical results. Electronics Physics applications for Superconductors and High Temperature Superconductors and Medical Technology are specified for MEM and presented.

Author Biography

Francisco Casesnoves

Dr Francisco Casesnoves earned the Engineering and Natural Sciences PhD by Talllinn University of Technology
(started thesis in 2016, thesis Defence/PhD earned in December 2018, official graduate Diploma 2019). Dr Casesnoves is European Union and Internationally qualified as Doctor in Engineering to supervise PhD Theses, Master Theses, and Bachelor Theses in science and engineering. He works as independent research scientist in computational- engineering/physics. Dr Casesnoves earned MSc-BSc, Physics/Applied-Mathematics (Public Eastern-Finland-University, MSc Thesis in Radiotherapy Treatment Planning Optimization, which was developed after graduation in a series of Radiation Therapy Optimization-Modelling publications [2007- present] ). Dr Casesnoves earned Graduate-with-MPhil, in Medicine and Surgery [1983] (Madrid University Medicine School, MPhil in Radioprotection Low Energies Dosimetry [1985]). He studied always in public-educational institutions, was football player 1972-78 (defender and midfielder) and as Physician, supports healthy life and all sports activities. Casesnoves resigned definitely to his original nationality in 2020 for ideological reasons, democratic-republican ideology, ethical-professional reasons, anti-state monarchy corruption positions, and does not belong to Spain Kingdom anymore. His constant service to the International Scientific Community and Estonian technological progress (2016- present) commenced in 1985 with publications in Medical Physics, with further specialization in optimization methods in 1997 at Finland―at the moment approximately 100 recognized publications with approximately 65 DOI papers. His main branch is Computational-mathematical Nonlinear/Inverse Methods Optimization. Casesnoves best- achievements are the Numerical Reuleaux Method in dynamics and nonlinear-optimization [books 2019-2020], The series of Radiotherapy Improvements for AAA superposition-convolution model, the Graphical and Interior Optimization Methods [2016-8], the new Computational Dissection-Anatomical Method, [2020], invention of
Forensic Robotics [2020-2021], invention of 3D Isodoses in radiotherapy TPO, and Molecular Effect Model for High Temperature Superconductors [2020]. Dr Casesnoves PhD thesis is an Estonian scientific service to European Social Fund and several EU Research Projects. Dr Casesnovesscientific service since 2016 to the Free and Independent Republic of Estonia for technological development (and also at Riga technical University, Power Electrical and Electronics Department) is about 40 physics-engineering articles, two books series, and 1 industrial radiotherapy project associated to Europe Union EIT Health Program (Tartu University, 2017).

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Published

2023-03-15

How to Cite

Casesnoves, F. (2023). EVOLUTIONARY ALGORITHMS MOLECULAR EFFECT MODEL OPTIMIZATION FOR HIGH TEMPERATURE SUPERCONDUCTORS CUPRATES AND REVIEW OF TIN AND THALLIUM CLASSES. TMP Universal Journal of Research and Review Archives, 2(1), 9–27. Retrieved from http://tmp.twistingmemoirs.com/index.php/ujrra/article/view/34

Issue

Vol. 2 No. 1 (2023): TMP Universal Journal of Research and Review Archives

Section

Original Article

License

Copyright (c) 2023 Francisco Casesnoves

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This work is licensed under a Creative Commons Attribution 4.0 International License.

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