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We implemented a kinetic Monte Carlo computer simulation of the nucleation process in the framework of the coarse grained scenario of the Classical Nucleation Theory (CNT). The computational approach is efficient for a wide range of temperatures and sample sizes and provides a reliable simulation of the stochastic process. The results for the nucleation rate are in agreement with the CNT predictions based on the stationary solution of the set of differential equations for the continuous variables representing the average population distribution of nuclei size. Time dependent nucleation behavior can also be simulated with results in agreement with previous approaches. The method, here established for the case in which the excess free-energy of a crystalline nucleus is a smooth-function of the size, can be particularly useful when more complex descriptions are required.

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A synchronization technique based on the Multi-Agent Systems approach, is proposed for a group of Distributed Generators belonging to a Micro-Grid. The Average Time Synchronization consensus algorithm is used. A detailed description of system's hardware architecture is given and several simulations of the dynamic are performed. Since the synchronization take place on a dedicated layer, different from the power grid one, the proposed technique does not require voltage and current measurements. This gives scalable, flexible and resilient characteristics to the system by construction.

We propose a model of network growth aimed at mimicking the evolution of the World Wide Web. To this purpose, we take as a key quantity, in the network evolution, the centrality or importance of a vertex as measured by its PageRank. Using a preferential attachment rule and a rewiring procedure based on this quantity, we can reproduce most of the topological properties of the system.