Computer experiment in micro- and nano-electronics
Course: Applied physics, nanoelectronics and computer technology
Structural unit: Faculty of Radiophysics, Electronics and Computer Systems
Title
Computer experiment in micro- and nano-electronics
Code
ВК 1.3
Module type
Вибіркова дисципліна для ОП
Educational cycle
First
Year of study when the component is delivered
2022/2023
Semester/trimester when the component is delivered
6 Semester
Number of ECTS credits allocated
3
Learning outcomes
General basics of semiconductor physics and nanoscale electron devices. Basic approaches to calculation of electron, optical, magnetic and other physical parameters of semiconductors. Basic physical processes taking place while electric current is flowing through semiconductors. Influence of defects and other inhomogenities of semiconductor structure on the process of charge carriers’ transport. Major algorithms for simulation of processes of current flow and heat generation in semiconductors.
Form of study
Prerequisites and co-requisites
Knowledge: major laws and equations of the courses of general physics, solid state physics, higher mathematics, basics of the theory of approximations in solving physical problems, basics of building computer algorithms. Ability: building practically applicable physical models of the real systems, identifying major and secondary factors, which determine temporal behaviour and physical properties of the physical systems, formulating physical models in terms of deifferential and algebraic equations.
Course content
Major physical parameters of semiconductor materials. Semiclassical theory of the charge carrier transport. Numerical algorithms for calculation of charge carriers’ mobility in semiconductors. Drift-diffusion equation and its numerical solutions. Simulation of thermal effects in nanoscale electron devices. Quantum correction to semiclassical models of the basic elements of nanoelectronics. Green functions method of numerically solving the equations of the charge carrier transport.
Recommended or required reading and other learning resources/tools
1. E.A. Gutierrez-D. Nano-Scaled Semiconductor Devices - Physics, Modelling, Characterisation and Societal Impact. – The Institution of Engineering and Technology, 2016. – 453 pp.
2. I.S. Amiri, H. Mohammadi, M. Hosseinghadiry. Device Physics, Modelling, Technology, and Analysis for Silicon MESFET. – Springer Nature Switzerland AG, 2019. – 122 pp.
3. W. Lambrechts, S. Sinha, J. Abdallah, J. Prinsloo. Extending Moore’s Law through Advanced Semiconductor Design and Processing Techniques. – Taylor & Francis Group, LLC, 2019. – 354 pp.
Planned learning activities and teaching methods
Oral lectures using computer equipment for data visualization (28 hours). Consultations in the classroom or using means of distant learning (2 hours). Self-study using the materials in the electronic form provided by the instructor (28 hours).
Assessment methods and criteria
Semester evaluation is performed by means of two written tests. A student can earn a maximum of 30 points for each of these tests. The final evaluation at the end of semester is performed by means of the combined written/oral test, which can give a maximum of 40 points. The course is passed with a positive grade if the total number of points obtained from all evaluations is no less than 60.
Language of instruction
Ukrainian
Lecturers
This discipline is taught by the following teachers
Andrii
Mykolajovych
Goriachko
Department of Quantum Radio Physics and Nanoelectronics
Faculty of Radiophysics, Electronics and Computer Systems
Faculty of Radiophysics, Electronics and Computer Systems
Departments
The following departments are involved in teaching the above discipline
Department of Quantum Radio Physics and Nanoelectronics
Faculty of Radiophysics, Electronics and Computer Systems