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Ce document décrit les premières investigations expérimentales à Jefferson Lab des Distributions de Partons Generalisées (GPDs), en utilisant la diffusion Compton Profondément Virtuelle (DVCS). Les GPDs incluent les facteurs de forme et densités partoniques habituelles, mais aussi les correlations entre états différents de partons. Les GPDs donnent donc accès a une description tri-dimensionnelle du nucléon. le DVCS est le processus le plus direct pour extraire les GPDs, et des l'année 2000 une série d'expériences ont été proposée dans ce but. Les résultats des premières expériences exploratoires sont presentés ainsi que les premières mesures de combinaisons linéaires de GPDs. Une discussion detaillée s'ensuit sur ce que l'on a appris de ces expériences, en liaison avec les outils théoriques utilises pour extraire les GPDS a partir des données. Enfin, on décrit les améliorations futures possibles, et les nouvelles expériences qui sont proposées.

The transport of heat that results from turbulence is a major factor limiting the temperature gradient, and thus the performance, of fusion devices. We use nonlinear simulations to show that a toroidal equilibrium scale sheared flow can completely suppress the turbulence across a wide range of flow gradient and temperature gradient values. We demonstrate the existence of a bifurcation across this range whereby the plasma may transition from a low flow gradient and temperature gradient state to a higher flow gradient and temperature gradient state. We show further that the maximum temperature gradient that can be reached by such a transition is limited by the existence, at high flow gradient, of subcritical turbulence driven by the parallel velocity gradient (PVG). We use linear simulations and analytic calculations to examine the properties of the transiently growing modes which give rise to this subcritical turbulence, and conclude that there may be a critical value of the ratio of the PVG to the suppressing perpendicular gradient of the velocity (in a tokamak this ratio is equal to q/ε where q is the magnetic safety factor and ε the inverse aspect ra- tio) below which the PVG is unable to drive subcritical turbulence. In light of this, we use nonlinear simulations to calculate, as a function of three parameters (the perpendicular flow shear, q/ε and the temperature gradient), the surface within that parameter space which divides the regions where turbulence can and cannot be sustained: the zero- turbulence manifold. We are unable to conclude that there is in fact a critical value of q/ε below which PVG-driven turbulence is eliminated. Nevertheless, we demonstrate that at low values of q/ε, the maximum critical temperature gradient that can be reached without generating turbulence (and thus, we infer, the maximum temperature gradient that could be reached in the transport bifurcation) is dramatically increased. Thus, we anticipate that a fusion device for which, across a significant portion of the minor radius, the magnetic shear is low, the ratio q/ε is low and the toroidal flow shear is strong, will achieve high levels of energy confinement and thus high performance.

The objective through my PhD has been to investigate radiation damage effects in materials related to fusion and to safe encapsulation of nuclear waste, using Molecular Dynamics (MD) methods. Particularly, using MD, we acquire essential information about the multi-scale phenomena that take place during irradiation of materials, and gain access at length and time-scales not possible to access experimentally. Computer simulations provide information at the microscopic level, acting as a bridge to the experimental observations and giving insights into processes that take place at small time and length-scales. The increasing computer capabilities in combination with recently developed scalable codes, and the availability of realistic potentials set the stage to perform large scale simulations, approaching phenomena that take place at the atomistic and mesoscopic scale (fractions of m for the first time) in a more realistic way. High-energy radiation damage effects have not been studied previously, yet it is important to simulate and reveal information about the properties of the materials under extreme irradiation conditions. Large scale MD simulations provide a detailed description of microstructural changes. Understanding of the primary stage of damage and short term annealing (scale of tens of picoseconds) will lead to better understanding of the materials properties, best possible long-term use of the materials and, importantly, new routes of optimization of their use. Systems of interest in my research are candidate fusion reactor structural materials (iron and tungsten) and materials related to the radioactive waste management (zirconia). High-energy events require large simulation box length in order for the damage to be contained in the system. This was a limitation for previous simulations, which was recently shifted with my radiation damage MD simulations. For the first time high-energy radiation damage effects were simulated, approaching new energy and length scales, giving a more realistic view of processes related to fusion and to high-energy ion irradiation of material.