Now showing items 6-10 of 402

  • Machine Learning for Novel Ternary Materials Discovery 

    Rossignol, Hugo Alexandre (Trinity College Dublin. School of Physics. Discipline of Physics, 2024)
    First principles codes based on DFT are now sufficiently accurate and efficient that they can be used in the design of novel materials with specifically selected properties. Doing so requires checking whether a compound ...
  • Multifunctional Thin Films of Vanadium Oxides for Enhanced Energy Applications 

    Ainabayev, Ardak (Trinity College Dublin. School of Physics. Discipline of Physics, 2024)
    This thesis deals with the growth, characterisation, and application of VO2 and V2O3 thin films. Various methods were employed to prepare and analyze the VO2 and V2O3 films, aiming to explore the suitability of their ...
  • Solution Processed Semiconducting Nanosheet Networks Towards Optoelectronic Applications 

    Liu, Shixin (Trinity College Dublin. School of Physics. Discipline of Physics, 2024)
    Two-dimensional (2D) semiconducting transition metal chalcogenides (TMDs) are attractive materials owing to their superb electronic and optoelectronic properties. The great advancement of material exfoliation and thin film ...
  • Accelerating Materials Discovery with Machine Learning 

    Gilligan, Luke Patrick (Trinity College Dublin. School of Physics. Discipline of Physics, 2024)
    Materials discovery has always been constrained by the classic approach to scientific discovery, often characterized by a combination of either human intuition or luck. Machine learning (ML) gives us the opportunity to ...
  • Investigating the Feasibility of Photostimulation for the Development of a Low Energy-Spread Electron Microscope Source. 

    Quigley, Frances Eileen (Trinity College Dublin. School of Physics. Discipline of Physics, 2024)
    Electron microscopes use fast-moving electrons as illumination to generate high resolution images down to the atomic scale. They are a valuable tool in various research fields, from palaeontology to material science. Low ...