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Computational Methods for Nanoelectronics: Semiclassical Models

EI71094Elective Modules5 ECTSEnglishwinter semesterDepartment Electrical Engineering
AI-edited module sheet. Based on the TUMonline module description, edited for readability.Original in TUMonline

What it is about

In this module you will gain an overview of the most important semi-classical numerical methods in nanoelectronics and their application to modern semiconductor devices. You will learn both basic concepts of organic and inorganic semiconductor materials and practical simulation approaches (drift-diffusion, Boltzmann transport, various Monte-Carlo methods) and apply them. In the end you will be able to select appropriate semi-classical methods and numerically solve simple charge-transport problems.

What you will be able to do

  • Understand the fundamental physics of organic and inorganic semiconductors
  • Explain theoretical concepts of important semi-classical numerical methods
  • Implement and solve simple charge-transport problems on different time and length scales
  • Apply finite-element methods for MOSFET simulation
  • Use Monte-Carlo methods for simulating organic solar cells
  • Assess the suitability of different semi-classical methods for a nanoelectronic system

What the module consists of

  • VorlesungVermittlung des Modulstoffs durch Dozenten, Diskussionen und Visualisierung mit Präsentationen
  • ÜbungAnwendung der numerischen Methoden an praktischen Problemen durch Übungsblätter mit Simulationsaufgaben und/oder analytischen Berechnungen

Teaching method

  • Lehrvortrag mit DiskussionErklärung der Inhalte und anschließende Diskussion zur Vertiefung
  • Wöchentliche ÜbungsblätterPraktische Anwendung der numerischen Methoden an Aufgabenstellungen
  • Simulationen mit kommerzieller Software oder EigenimplementierungDurchführung und Vertiefung der numerischen Methoden in praktischen Übungen

Dates

Lecture with exerciseComputational Methods for Nanoelectronics: Semiclassical Models

  • Thu12:00–16:00N2103, Studentenarbeitsplatz mit DV (0101.02.103)
    14× · 15.10.–04.02.
    • 15.10.
    • 22.10.
    • 29.10.
    • 05.11.
    • 12.11.
    • 19.11.
    • 26.11.
    • 10.12.
    • 17.12.
    • 07.01.
    • 14.01.
    • 21.01.
    • 28.01.
    • 04.02.

From the current semester, not binding.

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Official page in TUMonline · Details are not binding.