Essays about: "Applied physics"

Showing result 21 - 25 of 252 essays containing the words Applied physics.

  1. 21. Linking the selectivity of varying surface phases of a real palladium catalyst toward specific methane oxidation pathways with Ambient Pressure X-ray Photoelectron Spectroscopy

    University essay from Lunds universitet/Synkrotronljusfysik; Lunds universitet/Fysiska institutionen

    Author : Ulrike Küst; [2023]
    Keywords : APXPS; catalysis; palladium; methane; Physics and Astronomy;

    Abstract : The study of heterogeneous catalysis, especially within methane oxidation, is of high importance in order to more efficiently remove unburned methane from bio-fuel exhausts. This is relevant as bio-fuel engines will replace those driven by fossil fuels in the coming decades. READ MORE

  2. 22. Simulation, Design, and Implementation of a Narrow Linewidth Ytterbium Fiber MOPA System at 1087 nm

    University essay from KTH/Tillämpad fysik

    Author : Berkay Efilti; [2023]
    Keywords : Applied Physics; Laser Physics; Fiber Lasers; Fiber Amplifiers;

    Abstract : This thesis focuses on simulating, designing, and characterizing a narrow-linewidth continuous-wave (CW) Ytterbium (Yb) master oscillator fiber amplifier (MOFA) system. The primary goal was to achieve a watt-level output at 1087 nm with a narrow 1 GHz linewidth, making the MOFA well-suited for serving as a pump source in Terahertz (THz) generation experiments. READ MORE

  3. 23. Solving Partial Differential Equations With Neural Networks

    University essay from Uppsala universitet/Matematiska institutionen

    Author : Håkan Karlsson Faronius; [2023]
    Keywords : Partial differential equations; neural networks; physics-informed neural networks; deep ritz method; fourier neural operator; importance sampling; inverse problems;

    Abstract : In this thesis three different approaches for solving partial differential equa-tions with neural networks will be explored; namely Physics-Informed NeuralNetworks, Fourier Neural Operators and the Deep Ritz method. Physics-Informed Neural Networks and the Deep Ritz Method are unsupervised machine learning methods, while the Fourier Neural Operator is a supervised method. READ MORE

  4. 24. Approaches to Structural Characterization of a Heteromeric GABA(A)R

    University essay from KTH/Tillämpad fysik

    Author : Alexander Stevens; [2023]
    Keywords : Applied Physics; Biophysics; Molecular Biophysics; GABA A R; LGIC; pLGIC; Tillämpad Fysik; Biofysik; Molekylär Biofysik; GABA A R; LGIC; pLGIC;

    Abstract : Structural biology has become an important part of researching various diseases and drug development. In this thesis, I provide details on how I worked with approaches to structural characterization of a heteromeric GABA(A)R. READ MORE

  5. 25. An Introduction to Hitchin Systems

    University essay from Lunds universitet/Matematik LTH; Lunds universitet/Matematik (naturvetenskapliga fakulteten); Lunds universitet/Matematikcentrum

    Author : Manuel Neumayer; [2023]
    Keywords : Mathematics and Statistics;

    Abstract : This thesis aims to introduce the tools that are needed to understand — and historically led to the inception of — Hitchin systems. We lay out a basic theory of Hamiltonian systems on symplectic manifolds, and prove the Liouville-Arnold theorem, which states that integrable Hamiltonian systems admit coordinates in which their solution is basically linear. READ MORE