Numerical study of graphene as a channel material for field-effect transistors

Graphene excellent properties make it a promising candidate for building future nanoelectronic devices. Nevertheless, the absence of an energy gap is an open problem for the transistor application. In this thesis, graphene nanoribbons and pattern-hydrogenated graphene, two alternatives for inducing an energy gap in graphene, are investigated by means of numerical simulations. A tight-binding NEGF code is developed for the simulation of GNR-FETs. To speed up the simulations, the non-parabolic effective mass model and the mode-space tight-binding method are developed. The code is used for simulation studies of both conventional and tunneling FETs. The simulations show the great potential of conventional narrow GNR-FETs, but highlight at the same time the leakage problems in the off-state due to various tunneling mechanisms. The leakage problems become more severe as the width of the devices is made larger, and thus the band gap smaller, resulting in a poor on/off current ratio. The tunneling FET architecture can partially solve these problems thanks to the improved subthreshold slope; however, it is also shown that edge roughness, unless well controlled, can have a detrimental effect in the off-state performance. In the second part of this thesis, pattern-hydrogenated graphene is simulated by means of a tight-binding model. A realistic model for patterned hydrogenation, including disorder, is developed. The model is validated by direct comparison of the momentum-energy resolved density of states with the experimental angle-resolved photoemission spectroscopy. The scaling of the energy gap and the localization length on the parameters defining the pattern geometry is also presented. The results suggest that a substantial transport gap can be attainable with experimentally achievable hydrogen concentration.

X-ray and lensing mass estimates in galaxy clusters

In this Thesis we have presented our work on the analysis of galaxy clusters through their X-ray emission and the gravitational lensing effect that they induce. Our research work was mainly finalised to verify and possibly explain the observed mismatch between the galaxy cluster mass distributions estimated through two of the most promising techniques, i.e. the X-ray and the gravitational lensing analyses. Moreover, it is an established evidence that combined, multi-wavelength analyses are extremely effective in addressing and explaining the open issues in astronomy: however, in order to follow this approach, it is crucial to test the reliability and the limitations of the individual analysis techniques. In this Thesis we also assessed the impact of some factors that could affect both the X-ray and the strong lensing analyses.

Characterization of circulating steroids and endocannabinoids levels in obese subjects by liquid chromatography tandem mass spectrometry

Nowadays obesity can be defined as a global epidemic. The precise identification of circulating biomarkers involved in this pathology could be essential to early diagnose potential co-morbidities and to better address the development of future therapeutic strategies. Published evidences show that circulating steroid hormones and endocannabinoids might have a role in the physiopathology of obesity; however, a precise and reliable quantification of these molecules is still lacking. In the first part of the present thesis, we developed a sensitive, specific and accurate quantification method for nine steroid hormones using a liquid chromatography tandem mass spectrometry (LC-MS/MS) system. This method has been used first for a comparative study with immunoassays, currently used in the clinical practice to quantify these molecules and then to redefine circulating reference intervals in healthy subjects. Furthermore, we measured circulating steroid hormones in three groups of subjects: normo-weight, over-weight and obese, defining different steroid hormones profiles depending on the obesity state. The role of circulating endocannabinoids in humans is still unclear, however there are several evidences concerning their involvement in obesity. In the second part of the thesis, we determined changes of circulating endocannabinoids in obese patients after a weight loss induced by bariatric surgery, currently the most effective long-term treatment for obesity, using LC/MS-MS. We measured basal and dynamic endocannabinoids plasma levels in 12 patients with severe obesity before, one month after and six months after the Roux-en-Y gastric bypass intervention, currently one of the most performed types of bariatric surgery. All together the findings illustrated in this thesis project will help better define the role of steroid hormones and endocannabinoids in the framework of obesity in humans and the role that each type of molecule might have in its pathophysiology.