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13D061OINP - Optimization and Engineering of Nanostructural Parameters

Course specification
Course title Optimization and Engineering of Nanostructural Parameters
Acronym 13D061OINP
Study programme Electrical Engineering and Computing
Module Nanoelectronics and Photonics
Type of study doctoral studies
Lecturer (for classes)
Lecturer/Associate (for practice)
    Lecturer/Associate (for OTC)
      ESPB 9.0 Status elective
      Condition none
      The goal Introduce students to the latest methods for optimization of electronic and optical properties of semiconductor quantum nanostructures and their application in the design of specific devices (quantum cascade lasers, photodetectors, spin filters, etc.).
      The outcome Students are expected to complete course projects and implement some of the methods for optimization of quantum nanostructures (supersymmetric quantum-mechanical theory, genetic algorithm, optimal control theory, etc.), depending on the nature of the particular problem.
      Contents
      Contents of lectures Supersymmetric transformation. Methods for global optimization (variational calculus, simulated annealing algorithm, genetic algorithm) and applications in quantum cascade lasers and optically pumped lasers, photodetectors, higher harmonic generation, design of waveguides and spin filters. The inverse spectral theory. Coordinate transformation method. Digitalization of the nanostructural profile.
      Contents of exercises completing course projects and composing research papers
      Literature
      1. F. Cooper, A. Khare, U. Sukhatme: Supersymmetry in Quantum Mechanics, World Scientific Publishing, 2001
      2. S. Flugge “Practical Quantum Mechanics” Springer, 1999
      3. J. Singh, Electronic and optoelectronic properties of semiconductor structures, University press, Cambridge, 2003.
      4. P. Harrison,"Quantum Wells, Wires and Dots: Theoretical and Computational Physics of Semiconductor Nanostructures", Wiley, 2010.
      5. A. Yariv, Quantum electronics, Wiley, New York, 1989
      Number of hours per week during the semester/trimester/year
      Lectures Exercises OTC Study and Research Other classes
      6
      Methods of teaching lectures, course projects, seminars
      Knowledge score (maximum points 100)
      Pre obligations Points Final exam Points
      Activites during lectures 0 Test paper 70
      Practical lessons 0 Oral examination 0
      Projects
      Colloquia 30
      Seminars 0