Search for dissertations about: "enhanced sampling"
Showing result 1 - 5 of 78 swedish dissertations containing the words enhanced sampling.
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1. Computational Studies of Protein-ligand Systems Using Enhanced Sampling Methods
Abstract : This thesis focuses on studies of protein-ligand systems using enhanced sampling methods. In chapter I, I give a brief introduction to the time-scale problem and some enhanced sampling methods. In chapter II, the basics of MD simulation are reviewed. READ MORE
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2. Microdialysis Sampling of Macro Molecules : Fluid Characteristics, Extraction Efficiency and Enhanced Performance
Abstract : In this thesis, fluid characteristics and sampling efficiency of high molecular weight cut-off microdialysis are presented, with the aim of improving the understanding of microdialysis sampling mechanisms and its performance regarding extraction efficiency of biological fluid and biomarkers.Microdialysis is a well-established clinical sampling tool for monitoring small biomarkers such as lactate and glucose. READ MORE
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3. New approaches to data-driven analysis and enhanced sampling simulations of G protein-coupled receptors
Abstract : Proteins are large biomolecules that carry out specific functions within living organisms. Understanding how proteins function is a massive scientific challenge with a wide area of applications. In particular, by controlling protein function we may develop therapies for many diseases. READ MORE
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4. The relationship between fly ash chemistry and the thermal formation of polychlorinated pollutants during waste incineration
Abstract : The thermal formation of polychlorinated dibenzo-p-dioxins (PCDDs), dibenzofurans (PCDFs), biphenyls (PCBs), and naphthalenes (PCNs) is a major problem in waste incineration. Ideally, rather than relying on air cleaning systems and treatment techniques, their formation should be minimized or, if possible eliminated. READ MORE
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5. Continuous-time System Identification : Refined Instrumental Variables and Sampling Assumptions
Abstract : Continuous-time system identification deals with the problem of building continuous-time models of dynamical systems from sampled input and output data. There are two main approaches in this field: indirect and direct. In the indirect approach, a suitable discrete-time model is first determined, and then it is transformed into continuous-time. READ MORE