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26M061NM - Nanomagnetism

Course specification
Course title Nanomagnetism
Acronym 26M061NM
Study programme Electrical Engineering and Computing
Module Applied Mathematics, Audio and Video Technologies, Biomedical and Nuclear Engineering, Computer Engineering and Informatics, Electronics and Digital Systems, Energy Efficiency, Information and Communication Technologies, Microwave Engineering, Nanoelectronics and Photonics, Power Systems - Networks and Systems, Power Systems - Renewable Energy Sources, Power Systems - Substations and Power Equipment, Signals and Systems, Software Engineering
Type of study master academic studies
Lecturer (for classes)
Lecturer/Associate (for practice)
Lecturer/Associate (for OTC)
    ESPB 6.0 Status elective
    Condition no
    The goal Introduce students to magnetic interactions and phenomena in magnetic materials and nanostructures. Gaining knowledge in the theory of spin transport in nanostructures.
    The outcome Acquiring skills for modeling effects of magnetic ordering and spin transport in magnetic nanostructures.
    Contents
    Contents of lectures Dirac’s theory of spin. Spin precession. Two-spin states. Exchange interaction. Magnetic ordering. Hubbard model. Magnetic nanostructures. Spin relaxation. Micromagnetics. Landau-Lifshitz-Gilbert equation. Spin valve. Giant and tunnel magnetoresistance. Jullier, Slonczewski, and Valet-Fert models. Spin transfer torque effect. Fundamentals of magnonics.
    Contents of exercises Modeling of magnetic nanostructures and spin transport.
    Literature
    1. A. P. Guimaraes, "Principles of Nanomagnetism", Spinger, 2017.
    2. S. Bandyopadhyay, M. Cahay, "Introduction to Spintronics", CRC Press, 2016.
    3. C. S. Nikhil Kumar, "Magnonic devices", Springer, 2023.
    4. D. J. Griffiths, "Introduction to Quantum Mechanics", Addison-Wesley, 2004.
    5. M. Tadić, "Lectures on nanomagnetism", textbook, 2025.
    Number of hours per week during the semester/trimester/year
    Lectures Exercises OTC Study and Research Other classes
    3 1
    Methods of teaching lectures, problem-solving classes, demonstrations
    Knowledge score (maximum points 100)
    Pre obligations Points Final exam Points
    Activites during lectures 0 Test paper 50
    Practical lessons 0 Oral examination 0
    Projects
    Colloquia 50
    Seminars