Sökning: "Atomic Data"

Visar resultat 1 - 5 av 115 uppsatser innehållade orden Atomic Data.

  1. 1. Relaxed Priority Queue & Evaluation of Locks

    Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

    Författare :Andreas Rudén; Ludvig Andersson; [2023-10-23]
    Nyckelord :Concurrency; Data Structures; Algorithms; Priority Queue; Semantic Relaxation; Lock-free; Scalability; Performance;

    Sammanfattning : We present a new, lock-free and concurrent priority queue, utilizing some ideas from [1] by Rukundo et al., that relaxes the traditional sequential semantics of the delete_min operation to achieve better scalability and performance. LÄS MER

  3. 2. Machine Learning Prediction of Enzymes’ Optimal Catalytic Temperatures

    Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

    Författare :Camille Finlinson Porter; [2023-03-22]
    Nyckelord :enzyme; protein; amino acid; protein structure; optimal catalytic temperature;

    Sammanfattning : Enzymes that have been genetically engineered to withstand high temperatures are used by industry to make products with less waste and pollution. Different features of protein structure affect the optimal catalytic temperature ("topt") at which enzymes catalyze reactions most efficiently. LÄS MER

  4. 3. A Machine Learning Approach on Analysis of Emission Spectra for Application in XFEL Experiments

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Institutionen för fysik och astronomi

    Författare :Harald Agelii; [2023]
    Nyckelord :Structural biology; Machine learning; Neural networks; emission spectrum; XFEL; X-ray free electron laser; SFX; Serial femtosecond X-ray crystallography; Proteins; Diagnostics;

    Sammanfattning : In this thesis we investigate two potential applications of machine learning in the context of X-ray imaging and spectroscopy of biological samples, particularly such using X-ray free electron lasers (XFEL). We first investigate the possibility of using an emission spectrum, recorded from a sample after being probed by an incident X-ray, as a diagnostic tool. LÄS MER

  5. 4. Investigation of Antenna Radomes in Low Earth Orbits

    Master-uppsats, Lunds universitet/Centrum för analys och syntes

    Författare :Mathias Manohar Gren; [2023]
    Nyckelord :Materials; Science; Space; Satellites; Antenna Radomes; Beyond Gravity; Coatings; Physics; Chemistry; Low Earth Orbits; Engineering; Lunds University; Materials Chemistry; Technology and Engineering;

    Sammanfattning : Introduction: This master’s thesis focuses on exploring improved alternative material solutions for antenna radomes used to protect Beyond Gravity Sweden’s satellite antennas in low Earth orbits. Background: As the environment in low Earth orbit is harsh, surface materials on satellites experience high levels of atomic oxygen, ultra violet radiation, thermal-fluctuation, charged particles and micro meteoroids. LÄS MER

  7. 5. 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