Search for dissertations about: "semiconductor PHYSICS THESIS"

Showing result 11 - 15 of 246 swedish dissertations containing the words semiconductor PHYSICS THESIS.

  1. 11. Epitaxial Growth and Design of Nanowires and Complex Nanostructures

    Author : Kimberly Dick Thelander; Fasta tillståndets fysik; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Natural science; III-V Semiconductor Materials; Fysik; Kondenserade materiens egenskaper:struktur; phase equilibria; crystallography; thermal and mechanical properties; Condensed matter:stucture; egenskaper termiska och mekaniska ; kristallografi; fasjämvikt; Naturvetenskap; Physics; Nanowires; Vapour Phase Epitaxy; Semiconductory physics; Halvledarfysik;

    Abstract : This thesis describes the epitaxial growth of III-V semiconductor nanowires using Au seed particles, and the design of more complex three-dimensional branched structures from these wires. Growth was performed by metallorganic vapour phase epitaxy, in which precursor molecules for the semiconductor material components are introduced in a low-pressure vapour. READ MORE

  2. 12. Optical Properties of Low Dimensional Semiconductor Materials

    Author : Tiantian Han; Ying Fu; Per-Olof Holtz; KTH; []
    Keywords : NATURAL SCIENCES; NATURVETENSKAP; Semiconductor; Low dimensional; optics; Physics; Fysik;

    Abstract : This dissertation presents a serial study on optical properties of different semiconductor materials. Three main types of studies are addressed: The role of doping levels of N and Al atoms in the room-temperature photoluminescence (PL) of 4H-SiC films for optoelectronic applications; the use of a basic Monte Carlo method combined with probability calculations of the time-dependent Schroedinger equation to manifest multi-photon absorption and emission of II-VI compound quantum dots (QDs) for bioimaging; a theoretical quantum chemistry approach to study of structure and optical properties of InGaAsN and GaAs clusters for laser technology applications. READ MORE

  3. 13. Semiconductor Hetero- and Nanostructures

    Author : Jonas Ohlsson; Fasta tillståndets fysik; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Heterostructures; Nanowhiskers; Semiconductory physics; Chemical Beam Epitaxy; Nanostructures; Halvledarfysik; Fysicumarkivet A:2001:Ohlsson;

    Abstract : In this thesis, chemical beam epitaxy was used to fabricate nm-sized crystalline structures. Most of the systems were based on heterostructures, i.e., combinations of different kinds of crystalline materials. READ MORE

  4. 14. Dye/Semiconductor Interfaces : An Electron Spectroscopic Study of Systems for Solar Cell and Display Applications

    Author : Karin Westermark; Uppsala universitet; []
    Keywords : NATURAL SCIENCES; NATURVETENSKAP; Physics; Dye-sensitized; nanostructured; electron spectroscopy; Fysik; Physics; Fysik; fysik; Physics;

    Abstract : The properties relevant for electron transfer processes between dye molecules and semiconductor substrates, titanium dioxide (TiO2) and zinc oxide (ZnO), have been studied by means of photoelectron spectroscopy, PES, near edge X-ray absorption spectroscopy, NEXAFS, and resonant photoemission, RPES.For dye-sensitized solar cells, the currently used dyes are ruthenium polypyridine complexes adsorbed to the semiconductor via carboxyl linker groups. READ MORE

  5. 15. Charged particle distributions and robustness of the neural network pixel clustering in ATLAS

    Author : Edvin Sidebo; Jonas Strandberg; Bengt Lund-Jensen; David Silvermyr; KTH; []
    Keywords : NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; p p: scattering; ATLAS; LHC; charged particle: multiplicity; semiconductor detector: pixel; neural network: performance; track data analysis: cluster; charged particle: cluster; splitting; CERN LHC Coll; Physics; Fysik;

    Abstract : This thesis contains a study of the robustness of the artificial neural network used in the ATLAS track reconstruction algorithm as a tool to recover tracks in dense environments. Different variations, motivated by potential discrepancies between data and simulation, are performed to the neural network’s input while monitoring the corresponding change in the output. READ MORE