Monte Carlo studies of phase transitions and adsorption : application to n-6 Lennard-Jones, C60 and zeolite systems

The solid-fluid transition properties of the n - 6 Lennard-Jones system are studied by means of extensive free energy calculations. Different values of the parameter n which regulates the steepness of the short-range repulsive interaction are investigated. Furthermore, the free energies of the n < 12 systems are calculated using the n = 12 system as a reference. The method relies on a generalization of the multiple histogram method that combines independent canonical ensemble simulations performed with different Hamiltonians and computes the free energy difference between them. The phase behavior of the fullerene C60 solid is studied by performing NPT simulations using atomistic models which treat each carbon in the molecule as a separate interaction site with additional bond charges. In particular, the transition from an orientationally frozen phase at low temperatures to one where the molecules are freely rotating at higher temperatures is studied as a function of applied pressure. The adsorption of molecular hydrogen in the zeolite NaA is investigated by means of grand-canonical Monte Carlo, in a wide range of temperatures and imposed gas pressures, and results are compared with available experimental data. A potential model is used that comprises three main interactions: van der Waals, Coulomb and induced polarization by the permanent electric field in the zeolite.

Estudo de Monte Carlo da electroluminescência em detectores gasosos

Uma descrição detalhada do processo de electroluminescência é um prérequisito na optimização de detectores gasosos para sistemas de imagiologia, astrofísica, física de altas energias e experiências de eventos raros. Neste trabalho, é apresentada e caracterizada uma nova e versátil plataforma de simulação da emissão de luz durante a deriva de electrões em gases nobres, desenvolvida usando os programas Magboltz e Garfield. Propriedades intrínsecas da electroluminescência em gases nobres são calculadas e apresentadas em função do campo eléctrico aplicado, nomeadamente eficiências, rendimento e flutuações estatísticas associadas. São obtidos resultados em grande concordância com dados experimentais e simulações Monte Carlo anteriores. A plataforma é usada para determinar as condições óptimas de funcionamento de detectores como o NEXT (Neutrino Experiment with a Xenon TPC) e outros baseados nas micro-estruturas GEM (Gas Electron Multiplier) e MHSP (Micro- Hole & Strip Plate).

Random path sampling applied to vector models of magnetism

The recently reported Monte Carlo Random Path Sampling method (RPS) is here improved and its application is expanded to the study of the 2D and 3D Ising and discrete Heisenberg models. The methodology was implemented to allow use in both CPU-based high-performance computing infrastructures (C/MPI) and GPU-based (CUDA) parallel computation, with significant computational performance gains. Convergence is discussed, both in terms of free energy and magnetization dependence on field/temperature. From the calculated magnetization-energy joint density of states, fast calculations of field and temperature dependent thermodynamic properties are performed, including the effects of anisotropy on coercivity, and the magnetocaloric effect. The emergence of first-order magneto-volume transitions in the compressible Ising model is interpreted using the Landau theory of phase transitions. Using metallic Gadolinium as a real-world example, the possibility of using RPS as a tool for computational magnetic materials design is discussed. Experimental magnetic and structural properties of a Gadolinium single crystal are compared to RPS-based calculations using microscopic parameters obtained from Density Functional Theory.