Sökning: "Monte Carlo Linköping"
Visar resultat 1 - 5 av 69 avhandlingar innehållade orden Monte Carlo Linköping.
1. Monte Carlo Studies of Charge Transport Below the Mobility Edge
Sammanfattning : Charge transport below the mobility edge, where the charge carriers are hopping between localized electronic states, is the dominant charge transport mechanism in a wide range of disordered materials. This type of incoherent charge transport is fundamentally different from the coherent charge transport in ordered crystalline materials. LÄS MER
2. Charge Transport Simulations for Organic Electronics : A Kinetic Monte Carlo Approach
Sammanfattning : In this thesis we focus on the modelling and simulation of organic electronic devices, investigating their structural and electronic properties. Organic devices have attracted great interest for their innovative properties, but their functioning still represent a theoretical and technological challenge. LÄS MER
3. Development of Experimental Brachytherapy Dosimetry Using Monte Carlo Simulations for Detector Characterization
Sammanfattning : Brachytherapy (BT) is a type of interventional radiotherapy that is advantageous due to high absorbed dose conformity and possibility to deliver high dose in few fractions. It is often used for prostate and gynecological tumors as monotherapy or a boost alongside external beam radiotherapy (EBRT). LÄS MER
4. Machine learning using approximate inference : Variational and sequential Monte Carlo methods
Sammanfattning : Automatic decision making and pattern recognition under uncertainty are difficult tasks that are ubiquitous in our everyday life. The systems we design, and technology we develop, requires us to coherently represent and work with uncertainty in data. LÄS MER
5. Sequential Monte Carlo Filters and Integrated Navigation
Sammanfattning : In this thesis we consider recursive Bayesian estimation in general, and sequential Monte Carlo filters in particular, applied to integrated navigation. Based on a large number of simulations of the model, the sequential Monte Carlo filter, also referred to as particle filter, provides an empirical estimate of the full posterior probability density of the system. LÄS MER