School of Physics: Recent submissions
Now showing items 161-180 of 2200
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Machine Learned Compact Kinetic Models for Combustion
(Trinity College Dublin. School of Physics. Discipline of Physics, 2023)Chemical kinetic models are an essential component in the development and optimisation of combustion devices through their coupling to multi-dimensional simulations such as computational fluid dynamics (CFD). Due to the ... -
Athermalisation and Characterisation of High-OrderSurface Grating Lasers for Optical Communications
(Trinity College Dublin. School of Physics. Discipline of Physics, 2023)The semiconductor laser allows for the vast quantities of data that are transmitted over optical fibre each day. A simple device has transformed our lives. This transformation will continue in the coming decade where ... -
Pressure Dependent Mechanical Properties of Thin Films under Uniaxial Strain via the Layer Compression Test
(2023)Amorphous materials can exhibit strong nonlinear mechanical properties in comparison to crystalline metals and ceramics, largely due to their non equilibrium state which depends on the means of sample preparation history. ... -
The Growth and Characterisation of Mn2Au Thin Films and Heterostructures
(Trinity College Dublin. School of Physics. Discipline of Physics, 2023)In this thesis, Mn2Au thin films and heterostructures are grown via molecular beam epitaxy. Mn2Au thin films are investigated on MgO (001) and Al2O3 (1102) substrates, and on Pt (111) seed layer grown on an Al2O3 (0001) ... -
Correcting for probe wandering by precession path segmentation
(2023)Precession electron diffraction has in the past few decades become a powerful technique for structure solving, strain analysis, and orientation mapping, to name a few. One of the benefits of precessing the electron beam, ... -
Experimental reconstructions of 3D atomic structures from electron microscopy images using a Bayesian genetic algorithm
(2022)We introduce a Bayesian genetic algorithm for reconstructing atomic models of monotype crystalline nanoparticles from a single projection using Z-contrast imaging. The number of atoms in a projected atomic column obtained ... -
Interactions of Plasmonic and Dielectric Structures with 2D Materials
(Trinity College Dublin. School of Physics. Discipline of Physics, 2023)Three separate systems of nanoparticles coupled to two-dimensional materials are studied. Each system is investigated both experimentally and numerically with FDTD simulations. The first system involves a nanoparticle-on-mirror ... -
Heat Transfer in Open Quantum Systems
(Trinity College Dublin. School of Physics. Discipline of Physics, 2023)In most situations of practical interest, quantum systems are not isolated from their surroundings but are interacting with an environment. The importance of such situations has been highlighted, for example, in the fields ... -
Coulomb Calligraphy
(2023)The equilibrium configurations of N Coulomb charges confined by a harmonic potential in two dimensions are found to exhibit a wide variety of patterns that are pleasing to the eye, when adjacent points are joined up. We ... -
Thermal transport in thin films and across interfaces of dissimilar phase materials
(Trinity College Dublin. School of Physics. Discipline of Physics, 2023)As electronic and photonic devices steadily become more miniaturised and integrated the power density and heat flux that is required is increasing rapidly. Electronic and photonic circuits are now being integrated on the ... -
The Crystal Structure of Bubbles in the Wet Foam Limit
(2006)We have observed a rich variety of three-dimensional crystal and defect structures spontaneously formed by small (diameter 200 µm) bubbles in a wet foam. The observations confirm and extend those made by Bragg and Nye in ... -
Physics in a small bedroom
(Springer, 2022) -
Conservation of angular momentum in ultrafast spin dynamics
(2022)The total angular momentum of a closed system is a conserved quantity, which should remain constant in time for any excitation experiment once the pumping signal has been extinguished. Such conservation, however, is never ... -
Machine-learning approach for quantified resolvability enhancement of low-dose STEM data
(2023)High-resolution electron microscopy is achievable only when a high electron dose is employed, a practice that may cause damage to the specimen and, in general, affects the observation. This drawback sets some limitations ... -
The Design, Characterisation and Athermalisation of Vernier Widely Tunable Semiconductor Lasers
(Trinity College Dublin. School of Physics. Discipline of Physics, 2023)The early 21st century has seen a surge in demand for communications technologies, particularly with the internet having become a near essential utility in recent years. The rise of high-resolution video streaming, among ... -
Piezoresistive Properties of 2D based Nanocomposites for Strain Sensing Applications
(Trinity College Dublin. School of Physics. Discipline of Physics, 2023)The superlative piezoresistive properties of nanomaterials and their composites have attracted great interest in the area of strain sensing. The field has grown exponentially over the past decade, benefiting from the ... -
An Investigation into the Accretion Processes of Young Stellar Objects
(Trinity College Dublin. School of Physics. Discipline of Physics, 2023)The way in which young stars form is complex and fascinating, and is anything but a smooth, continuous process. Studying their dramatic, and sometimes violent, early years of accreting and ejecting material is vital in ... -
Local inversion of the chemical environment representations
(2022)Machine-learning generative methods for material design are constructed by representing a given chemical structure, either a solid or a molecule, over appropriate atomic features, generally called structural descriptors. ... -
Fe- and Co-based magnetic tunnel junctions with AlN and ZnO spacers
(2022)AlN and ZnO, two wide band-gap semiconductors extensively used in the display industry, crystallize in the wurtzite structure, which can favor the formation of epitaxial interfaces to close-packed common ferromagnets. Here ... -
Data-driven time propagation of quantum systems with neural networks
(2022)We investigate the potential of supervised machine learning to propagate a quantum system in time. While Markovian dynamics can be learned easily, given a sufficient amount of data, non-Markovian systems are nontrivial and ...
