Avancerad sökning

Visar resultat 1 - 5 av 127 uppsatser som matchar ovanstående sökkriterier.

  1. 1. Determining Protein Conformational Ensembles by Combining Machine Learning and SAXS

    Master-uppsats, KTH/Tillämpad fysik

    Författare :Samuel Eriksson Lidbrink; [2023]
    Nyckelord :AlphaFold; AlphaFold2; SAXS; protein conformational ensembles; machine learning; protein conformations; reweighting; SAXS; AlphaFold; AlphaFold2; proteinkonformationsensembler; maskininlärning; proteinkonformationer; omviktning;

    Sammanfattning : In structural biology, immense effort has been put into discovering functionally relevant atomic resolution protein structures. Still, most experimental, computational and machine learning-based methods alone struggle to capture all the functionally relevant states of many proteins without very involved and system-specific techniques. LÄS MER

  3. 2. Identifying effects of adrenaline and dopamine binding on the beta2-adrenergic receptor structure and function using machine learning

    Kandidat-uppsats, KTH/Skolan för teknikvetenskap (SCI)

    Författare :Joar Gunnarsson; Leon Bergner; [2023]
    Nyckelord :beta2-adrenergic receptor; GPCR; adrenaline; dopamine; Machine learning; Molecular dynamics simulation;

    Sammanfattning : The beta2-adrenergic receptor is a G-protein coupled receptor, involved in several physiological processes, which enables signaling through the cell membrane. To study the effect of dopamine and adrenaline binding on the receptor structure and function, we used machine learning methods applied to data from molecular dynamics simulations. LÄS MER

  4. 3. Interfacial Dynamics at Surface Modified Molecular/Perovskite Solar Cells : How measurements are made to understand solar cell stability

    Master-uppsats, Uppsala universitet/Institutionen för fysik och astronomi

    Författare :Benjamin Verbeek; [2023]
    Nyckelord :perovskite; solar cell; solar; energy; XPS; synchrotron;

    Sammanfattning : Humanity has great energy demands, and must simultaneously combat climate change by curbing anthropogenic greenhouse gas emissions. Perovskite solar cells (PSC) provide a low-carbon energy source, at lower production costs than traditional silicon-based solar cells. PSC's suffer some issues with long-term stability. LÄS MER

  5. 4. Computational study of the photophysical properties of two related photosensitizer proteins

    Master-uppsats, KTH/Kemi

    Författare :Benjamin Fégeant; [2023]
    Nyckelord :Photosensitizer proteins; QM MM; photophysics; molecular dynamics; computational protocol for protein preparation; Fotosensibiliserande proteiner; QM MM; fotofysik; molekylär dynamik; beräkningsprotokoll för förberedelser av proteiner;

    Sammanfattning : Den ökande koldioxidhalten i atmosfären har lett till ett ökat intresse för användning av solljus, ett exempel är inom kemi. Att använda ljus i kemi kan leda till nya och intressanta kemiska reaktioner och kan tillämpas i användningsområden som exempelvis fotokatalys och fotovoltaik. LÄS MER

  7. 5. Application of ring statistics to characterise graphitisation of carbon fiber heat shields under atmospheric re-entry conditions

    Master-uppsats, KTH/Lättkonstruktioner, marina system, flyg- och rymdteknik, rörelsemekanik

    Författare :Hamish Keay; [2023]
    Nyckelord :Aerospace; Heat shields; Re-entry; Graphitisation; Carbon fiber; Carbon phenolic; Ring statistics; Graph theory; Molecular Dynamics; återinträde; grafitisering; kolfiber; kolfenol; ringstatistik; grafteori; molekylär dynamik;

    Sammanfattning : Carbon fibers submitted to high temperatures (>2000 °C) experience a permanent increasein their thermal conductivity. This change has been attributed to a change in the molecularstructure due to graphitisation. LÄS MER