Essays about: "Applied physics"
Showing result 1 - 5 of 226 essays containing the words Applied physics.
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1. Preprocessing for intravoxel incoherent motion analysis in the brain - Signal drift correction
University essay fromAbstract : Diffusion magnetic resonance imaging (dMRI) is a diagnostic imaging technique that is sensitized to the movement of water molecules in tissues. Intravoxel incoherent motion (IVIM) analysis can be used to estimate blood flow in capillaries from weakly diffusion-weighted data. READ MORE
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2. Investigating the density evolution of charged particles inside a square domain
University essay from Uppsala universitet/Institutionen för fysik och astronomiAbstract : In this work, I propose a hybrid particle simulator for charged particles. The simulator consists of a physics-informed neural network, which can handle arbitrary external electric fields with continuous coordinates by solving the Poisson equation, and a graph-based algorithm that computes the interacting forces between the particles. READ MORE
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3. 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 institutionenAbstract : 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
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4. Solving Partial Differential Equations With Neural Networks
University essay from Uppsala universitet/Matematiska institutionenAbstract : 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
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5. Approaches to Structural Characterization of a Heteromeric GABA(A)R
University essay from KTH/Tillämpad fysikAbstract : 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
