Dimensional Reduction of Dynamical Systems by Machine Learning: Automatic Generation of a Macroscopic Model

We propose the framework to generate a phenomenological model that extract the essence of a dynamical system with large degrees of freedom by using machine learning. For a given microscopic dynamical system, we simultaneously seek for the suitable projection to a macroscopic variable, which is supposed to be extensive, and the time proceeding equation that governs them. The utility of this method is demonstrated by the application to the elementary cellular automata.Comment: 9 pages, 7 figure

Profile and scaling of the fractal exponent of percolations in complex networks

We propose a novel finite size scaling analysis for percolation transition observed in complex networks. While it is known that cooperative systems in growing networks often undergo an infinite order transition with inverted Berezinskii-Kosterlitz-Thouless singularity, it is very hard for numerical simulations to determine the transition point precisely. Since the neighbor of the ordered phase is not a simple disordered phase but a critical phase, conventional finite size scaling technique does not work. In our finite size scaling, the forms of the scaling functions for the order parameter and the fractal exponent determine the transition point and critical exponents numerically for an infinite order transition as well as a standard second order transition. We confirm the validity of our scaling hypothesis through Monte-Carlo simulations for bond percolations in some network models: the decorated (2,2)-flower and the random attachment growing network, where an infinite order transition occurs, and the configuration model, where a second order transition occurs.Comment: 6 page

Static and dynamical aspects of the metastable states of first order transition systems

We numerically study the metastable states of the 2d Potts model. Both of equilibrium and relaxation properties are investigated focusing on the finite size effect. The former is investigated by finding the free energy extremal point by the Wang-Landau sampling and the latter is done by observing the Metropolis dynamics after sudden heating. It is explicitly shown that with increasing system size the equilibrium spinodal temperature approaches the bistable temperature in a power-law and the size-dependence of the nucleation dynamics agrees with it. In addition, we perform finite size scaling of the free energy landscape at the bistable point.Comment: 8 pages, 6 figures, submitted to Physics Procedia as a proceedings of the 24th Annual CSP Workshop at the University of Georgi

Dynamical Study of Polydisperse Hard-Sphere System

We study the interplay between the fluid-crystal transition and the glass transition of elastic sphere system with polydispersity using nonequilibrium molecular dynamics simulations. It is found that the end point of the crystal-fluid transition line, which corresponds to the critical polydispersity above which the crystal state is unstable, is on the glass transition line. This means that crystal and fluid states at the melting point becomes less distinguishable as polydispersity increases and finally they become identical state, i.e., marginal glass state, at critical polydispersity.Comment: 5 pages, 5 figure