Essays about: "computational physics"

Showing result 1 - 5 of 80 essays containing the words computational physics.

  1. 1. Patterning of the neural tube: A 3D computational modelling approach

    University essay from Lunds universitet/Institutionen för astronomi och teoretisk fysik; Lunds universitet/Beräkningsbiologi och biologisk fysik

    Author : Ariane Ernst; [2019]
    Keywords : gene regulatory networks; neural tube patterning; patterning of the neural tube; dopaminergic neurons; parkinson s disease; computational modelling; stem cell; GRN; Biology and Life Sciences; Physics and Astronomy;

    Abstract : Neurodegenerative diseases such as Parkinson’s can be treated with stem-cell derived specialized neurons. In order to achieve precise directed neural differentiation in vitro we need to understand the gene regulatory mechanisms behind in vivo neural tube patterning. READ MORE

  2. 2. Machine Learning for Air Flow Characterization : An application of Theory-Guided Data Science for Air Fow characterization in an Industrial Foundry

    University essay from Karlstads universitet

    Author : Robin Lundström; [2019]
    Keywords : Machine learning; ML; Echo State Map; ESM; Echo State Network; ESN; Gaussian Process; GP; Computational Fluid Dynamics; CFD; Theory-Guided Data Science; TGDS; Physics-Guided Data Science; Data science; Cross-discipline; Hybrid model; MatLab; Maskininlärning; ML; Echo State Map; ESM; Echo State Network; ESN; Gaussiska Processer; GP; Beräkningsströmningsdynamik; CFD; MatLab;

    Abstract : In industrial environments, operators are exposed to polluted air which after constant exposure can cause irreversible lethal diseases such as lung cancer. The current air monitoring techniques are carried out sparely in either a single day annually or at few measurement positions for a few days. READ MORE

  3. 3. Machine learning and augmented data for automated treatment planning in complex external beam radiation therapy

    University essay from Högskolan i Gävle/Avdelningen för elektronik, matematik och naturvetenskap

    Author : Michael Lempart; [2019]
    Keywords : Machine Learning; Deep Learning; Data Augmentation; Treatment Planning; External Beam Radiation Therapy;

    Abstract : External beam radiation therapy is currently one of the most commonly used modalities for treating cancer. With the rise of new technologies and increasing computational power, machine learning, deep learning and artificial intelligence applications used for classification and regression problems have begun to find their way into the field of radiation oncology. READ MORE

  4. 4. Artificial Neural Networks to Solve Inverse Problems in Quantum Physics

    University essay from Lunds universitet/Matematisk fysik; Lunds universitet/Fysiska institutionen

    Author : Victor Lantz; [2019]
    Keywords : Artificial Neural Networks; ANN; Deep learning; Quantum physics; Inverse problem; Inverse; Machine learning; Density functional theory; DFT; Physics; Computational physics; Technology and Engineering;

    Abstract : Inverse problems are important in quantum physics as their solutions are essential in order to describe a number of systems using measurable information, e.g. excitation energies or material properties. The problem with inverse problems is that they are usually very hard to solve. READ MORE

  5. 5. Combining the GW Approximation with the Hubbard I Approximation for strongly correlated materials

    University essay from Lunds universitet/Matematisk fysik; Lunds universitet/Fysiska institutionen

    Author : Torsten Strunck; [2019]
    Keywords : GWA; GW Approximation; HIA; Hubbard I Approximation; Hubbard-I Approximation; Hubbard model; DMFT; Dynamical Mean Field Theory; strongly correlated materials; electron correlations; solid state physics; Physics and Astronomy;

    Abstract : In this thesis, the GW approximation (GWA, Green's function G times screened interaction W) and the Hubbard I approximation (HIA) are combined in a non-self-consistent one-shot calculation to determine the electronic structure of a one-dimensional strongly-correlated model. The scheme was chosen to incorporate both screening effects through the GWA and strong on-site correlations through the atomic HIA. READ MORE