Genetic Algorithms Optimization for High Temperature Superconductors SN Class Molecular Effect Model with Electronics Applications
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This contribution deals with the Molecular Effect Model (MEM) Genetic Algorithms polynomial-dual optimization for High Temperature Superconductors (HTSCs) class of [ Sn-Sb-Te-Ba-Mn-Cu-O ] . Results comprise Tikhonov Regularization Functionals development and mathematical methods for this HTSCs group without using logarithmic changes. Findings for this MEM optimization, based on Genetic Algorithms polynomial-dual-method show acceptable theoretical Numerical and 2D/3D Graphical Optimization solutions and low residuals. Solutions comprise two parts, the modelling for TC Molecular Effect predictions equations, and 2D graphics series of results. Electronics Physics applications for Superconductors and High Temperature Superconductors are specified for Isotope Effect in BCS theory and for MEM and presented.
Aditya M. Vora. Modified Transition Temperature Equation for Superconductors. Chin.Phys.Lett. Vol. 25, No. 6 (2008) 2162.
Abramobitz, Stegun. Handbook of Mathematical Functions. Applied Mathematics Series. 55.1972.
Casesnoves , F "Interior Optimization Methods with Electronics Applications", International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET), Online ISSN : 2394-4099, Print ISSN : 2395-1990, Volume 7 Issue 3, pp. 428-436, May-June 2020.
Casesnoves, F. "Advanced Interior Optimization Methods with Electronics Applications", International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET), Online ISSN : 2394-4099, Print ISSN : 2395-1990, Volume 7 Issue 5, pp. 97-110, September-October 2020. DOI : 10.32628/IJSRSET207518.
Casesnoves, F. "Multiobjective Interior Optimization Computational Methods for Electronics BCS Superconductivity", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 6 Issue 5, pp. 280-293, September-October 2020. Available at DOI : 10.32628/CSEIT206556.
Casesnoves, F. Mathematical Models and Optimization of Erosion and Corrosion. Ph.D. Thesis, Taltech University, Tallinn, Estonia. 14 December. 2018. ISSN 25856898.
Casesnoves, F. Die Numerische Reuleaux-Methode Rechnerische und Dynamische Grundlagen mit Anwendungen (Erster Teil); Sciencia Scripts: 2019; ISBN-13: 978-620-0-89560-8, ISBN-10: 6200895600.
Casesnoves, F. Primary Modelling for Electromagnetic Waves Transmission in Extreme Weather Conditions. International Journal of Innovative Research in Science, Engineering, and Technology. Volume 7, Issue 10, 2018. ISSN Online:2319-8753. DOI: 10.15680/IJIRSET.2018.0710022.
Casesnoves, F. The Numerical Reuleaux Method, a computational and dynamical base with applications. First Part. Lambert Academic Publishing. ISBN-10 3659917478. 2019.
Darwin, C. The origin of species. Barnes & Noble Classics. 2004.
Haupt, R, Haupt, S. Practical Genetic Algorithms. Wiley. Second Edition. 2004.
Kazufumi, I; Bangti, J. Inverse Problems, Tikhonov Theory and Algorithms. Series on Applied Mathematics Volume 22. World Scientific. 2015.
Plakida, N. High-Temperature Cuprate Superconductors Experiment, Theory, and Applications. Springer Series in Solid-State Sciences ISSN 0171-1873. 2010.
Alexandrev, A S. Theory of Superconductivity, From Weak to Strong Coupling. Series in Condensed Matter Physics. Institute of Physics Publishing Philadelphia. 2003.
Khare, N. Handbook of High-Temperature Superconductor. Marcel Dekker USA. ISBN: 0-8247-0823-7. 2003.
Casesnoves F, Suzenkov A. Mathematical Models in Biotribology with 2D-3D Erosion Integral-Differential Model and Computational-Optimization/Simulation Programming. International Journal of Scientific Research in Computer Science, Engineering and Information Technology. 2017 IJSRCSEIT | Volume 2 | Issue 3 | ISSN : 2456-3307.
Casesnoves F, Antonov M, Kulu P. Mathematical models for erosion and corrosion in power plants. A review of applicable modelling optimization techniques. IEEE Xplore database and will be cross referred in SCOPUS. Proceedings of RUTCON2016 Power Engineering Conference.2016. Riga Technical University.
Casesnoves, F. 2D computational-numerical hardness comparison between Fe-based hardfaces with WC-Co reinforcements for Integral-Differential modelling. Key Engineering Materials Journal. Trans Tech publications 2018. Vol 762, pp 330-338. DOI: 10.4028/www.scientific.net/KEM.762.330.ISSN: 1662-9795. 2018.
Casesnoves F, Surzhenkov A. Inverse methods for computational simulations and optimization of erosion models in power plants. IEEE Proceedings of RUTCON2017 Power Engineering Conference.Riga Technical University. IEEExplore Publication in 5th December 2017. DOI:10.1109/RTUCON.2017.8125630. Electronic ISBN:978-1-5386-3846-0. USB ISBN: 978-1-5386-3844-6.Print on Demand (PoD) ISBN: 978-1-5386-3847-7.
Casesnoves, F. 'Computational Simulations of Vertebral Body for Optimal Instrumentation Design'. ASME Journal of Medical Devices (Research Paper). Author: F Casesnoves .Journal of Medical Devices. June 2012. Volume 6. Issue 2/021014.11 pages.http://dx.doi.org/10.1115/1.4006670.
Casesnoves,F.'Large-Scale Matlab Optimization Toolbox (MOT) Computing Methods in Radiotherapy Inverse reatment Planning’. High Performance Computing Meeting. Nottingham University. January 2007.
Casesnoves, F. ‘A Monte-Carlo Optimization method for the movement analysis of pseudo-rigid bodies’. 10th SIAM Conference in Geometric Design and Computing, Texas, San Antonio, USA. Contributed Talk. November 2007.
Casesnoves, F. 'Applied Inverse Methods for Deformable Solid Dynamics/Kinematics in Numerical Reuleaux Method (NRM)'. International Journal of Numerical Methods and Applications. volume 9(2) 2013 .pages 109-131. peer-reviewed International Mathematical/Computation Journal Article. print/Online.http://www.pphmj.com/abstract/7688.htm. This article is specially innovative in Inverse Problems applications for deformable solids kinematics/dynamics, further publications are included in United States Congress Library and Numerical Reuleaux Method is accepted by scientific community as an innovative dynamics method in deformable solids with mechanical, biomechanical and aerospace applications. New applications of this method will be probably found significantly in future.
Casesnoves, F. Nonlinear comparative optimization for biomaterials wear in artificial implants technology. Presented in Applied Chemistry and Materials Science RTU2018 Conference Proceedings. 2018.
Huang X. Does the isotope effect of mercury support the BCS theory?. Condensed Matter. 2011.
Hummel, R E. Electronic Properties of Materials.
Kasap F, P. Capper (Eds.), Springer Handbook of Electronic and Photonic Materials, DOI 10.1007/978-3-319-48933-9_50ourth Edition. Springer. 2000.
Kessel W.On a General Formula for the Transition Temperature of Superconductors. Naturforsch. 29 a, 445 — 451 1974] ; received 24 December 1973.
Kulou P, Casesnoves F, Simson T, Tarbe R. Prediction of abrasive impact wear of composite hardfacings. Solid State Phenomena, Proceedings of 26th International Baltic Conference on Materials Engineering. 2017. Solid State Phenomena Submitted: 2017-06-12. ISSN: 1662-9779, Vol. 267, pp 201-206. DOI:10.4028/www.scientific.net/SSP.267.201 2017 Trans Tech Publications, Switzerland Online: 2017-10-10.
Luenberger, G D. Linear and Nonlinear Programming. Fourth Edition. Springer.2008.
Moysés Luiz, Adir. Superconductivity – Theory and Applications, Edited by ISBN 978-953-307-151-0. 2010.
Reynolds C A, Serin, Nesbitt. The Isotope Effect in Superconductivity. I. Mercury. The Isotope Eff'ect in Superconductivity'. Mercury. Physical review volume 84, Number 4, November. 1951.
Seri B., C. A. Reynolds, and B. Nesbitt. Mass Dependence of the Superconducting Transition Temperature of Mercury. Letters to Editor. Phys. Rev 80-761. Page 761. 1950.
Todinov, M. Reliability and Risk Models. Wiley. 2005.
Vidyasagar M. Nonlinear Systems Analysis.Second Edition. Prentice Hall.1993.
Wesche, R. Chapter 50. High-Temperature Superconductors. Springer Handbook of Electronic and Photonic Materials. 2017.
‘European Textbook on Ethics in Research’. European Commission, Directorate-General for Research. Unit L3. Governance and Ethics. European Research Area. Science and Society. EUR 24452 EN.
The European Code of Conduct for Research Integrity. Revised Edition. ALLEA. 2017.
Buschow, K. Magnetic & superconducting materials. Second edition. Elsevier. 2003.
Seidel, P. Applied superconductivity. Volume 1 and 2. Wiley-VCH. 2015.
Drechsler, S ; Mishonov, T. High-T c Superconductors and Related Materials Material Science, Fundamental Properties, and Some Future Electronic applications. Springer science media, B.V. 1998.
Parinov, I. Microstructure and Properties of High-Temperature Superconductors. Second Edition. Springer. 2017.
Plakida, N. High-Temperature Cuprate Superconductors Experiment, Theory, and Applications. Springer Series in Solid-State Sciences. 2010.
Fossheim, K ; Sudbø, A. Superconductivity Physics and Applications. Wiley. 2004.
Wang, Y. F. Fundamental elements of applied superconductivity in electrical engineering. Wiley. 2013.
Pia, M, and Colls. The Geant4 Simulation Toolkit. IEEE Nuclear Science Symposium and Medical Imaging Conference. Seoul. 2013.
Allison, K, and Colls. Geant4 Developments and Applications. IEEE Transactions on Nuclear Science, vol. 53, no. 1. February 2006.
Casesnoves, F. "Mathematical-Computational Optimization Methods on Primary Molecular Effect Model for Selected High Temperature Superconductors with Electronics Physics Applications". International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT). ISSN : 2456-3307, Volume 8 Issue 2, pp. 159-167, March-April 2022. DOI: https://doi.org/10.32628/CSEIT228220].
Casesnoves, F. Genetic Algorithms for Interior Comparative Optimization of Standard BCS Parameters in Selected Superconductors and High-Temperature Superconductors. Standards 2022, 2, 430–448. https://doi.org/10.3390/standards2030029].