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We illustrate the potential of Time Dependent Density Functional Theory (TDDFT) for describing the nonequilibrium behavior of strongly correlated (lattice) models. Starting from an exact time-evolution of the many-body wavefunction, we determine, via reverse engineering, the exact exchange correlation (xc) potential $v_{xc}$ for small Hubbard chains of different lengths and electron fillings and e

The frame story
takes place in a dystopian Europe, possibly some kind of European Union around 2050 – in a state of conflicts and decay. The protagonists are a retired general, Piscator (cf. Fisher King) and a former journalist, Perle Vaus (cf. Perlesvaus/Perceval/Parsifal). She lost her home because of a new genderrelated law and stays homeless with others, covered by the Saxon bridge.

A humanoid dummy inside a well controlled radon exposure chamber (volume=20m3) was used to investigate the properties of an aerosol close to, and far away from the human face, respectively. Rn222 and a NaCl aerosol (geometric mean diameter=86 nm, concentration ( 5000 cm-3 was added to the room. The size distribution of the passive aerosol and the unattached fraction of the radon progeny were measu

The study of spin transport has emerged at the forefront of condensed matter physics during the last decade. Much of the interest has undoubtedly been sparked by the advent of the spintronics paradigm and the idea of creating novel electronic devices based on the spin degree of freedom of the carriers. However, a great deal of interest is due to the rich physics that emerges from the study of spin

Geophysics measurement techniques can be considered as non-destructive, remote methods to analyse the physical properties of geologic materials hidden at depth in the earth, within geotechnical structures or within laboratory test specimens. The objective of this paper is to highlight at least some of the potential to use geophysics methods to aid geomechanical investigations, both at the laborato

Abstract not available

This thesis concerns estimation in partially observed continuous and discrete time Markov models and focus on both inference about the conditional distribution of the unobserved process as well as parameter inference for the dynamics of the unobserved process. Paper A concerns calibration of advanced stock price models, in particular the Bates and NIG-CIR models, using options data observed thro

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