Fundamentals of Computational Photonics R3a

Overview

Credits points: 6

Workload:
75 hours course attendance; 105 hours self-study

Semester: winter

Language: English

Module type: elective

Module usability: M.Sc. Electrical Communication Engineering, M.Sc. Elektrotechnik

Module duration: one semester

Required qualifications:
basic knowledge of of semiconductor materials; fundamentals of mathematical operations; basics of python programming

Research and development in the materials and device modeling for different applications in the area of electrical and photonics engineerings

Consulting in semiconducting technology

Operation and maintenance of devices in production processes

Fundamentals of QM and nanoelectronics: basics of quantum mechanics, Schrodinger equation, finite-difference methods, discretization
2D materials beyond graphene: 2D materials, graphene, MXenes, emerging families: TMDCs
Semiconductor transport: Boltzmann equation, drift-diffusion box method, boundary conditions
Density-functional Theory: many-bodies Schrodinger equation, density functional theory, first-principle calculations
Optoelectronic properties of nanomaterials: electronic properties, transport properties (electron/hole mobility, effective masses of electrons/holes, thermal/ electronic conductivity), linear optical responses
Nanoscale device modeling: ballistic and diffusive transport, quasi-fermi levels, diffusion equation for ballistic

Detailed understanding of the materials behavior at nanoscale
Understanding the quantum transport and optoelectronic properties of the material
Understanding the density functional theory for anticipation of the physical properties of the materials under different conditions
Modeling of characterization of the nanoscale devices using NEGF and semi-classical approaches
Quantum to classical modeling for optoelectronic materials and devices

Fundamentals of QM and nanoelectronics: basics of quantum mechanics, Schrodinger equation, finite-difference methods, discretization
2D materials beyond graphene: 2D materials, graphene, MXenes, emerging families: TMDCs
Semiconductor transport: Boltzmann equation, drift-diffusion box method, boundary conditions
Density-functional Theory: many-bodies Schrodinger equation, density functional theory, first-principle calculations
Optoelectronic properties of nanomaterials: electronic properties, transport properties (electron/hole mobility, effective masses of electrons/holes, thermal/ electronic conductivity), linear optical responses
Nanoscale device modeling: ballistic and diffusive transport, quasi-fermi levels, diffusion equation for ballistic

Detailed understanding of the materials behavior at nanoscale
Understanding the quantum transport and optoelectronic properties of the material
Understanding the density functional theory for anticipation of the physical properties of the materials under different conditions
Modeling of characterization of the nanoscale devices using NEGF and semi-classical approaches
Quantum to classical modeling for optoelectronic materials and devices