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    Article

    The phase diagram of the Flory-Huggins-de Gennes model of a binary polymer blend

    We undertake a numerical study of the Flory-Huggins-de Gennes functional ind=3 dimensions describing a polymer blend. By discretising the functional on a three-dimensional lattice and employing the hybrid Monte C...

    Bruce M. Forrest, Raúl Toral in Journal of Statistical Physics (1994)

  2. No Access

    Chapter and Conference Paper

    Computational field theory and pattern formation

    Raúl Toral in Third Granada Lectures in Computational Physics (1995)

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    Chapter and Conference Paper

    Linear Instability Mechanisms of Noise-Induced Phase Transitions

    We review the role of linear instabilities on phase transition processes induced by external spatiotemporal noise. In particular, we present a detailed linear stability analysis of a standard Ginzburg-Landau m...

    Marta Ibañes, Jordi García-Ojalvo in Stochastic Processes in Physics, Chemistry… (2000)

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    Chapter

    Stochastic Effects in Physical Systems

    The study of the effects of noise and fluctuations is a well established subject in several different disciplines ranging from pure mathematics (stochastic processes) to physics (fluctuations) and electrical e...

    Maxi San Miguel, Raúl Toral in Instabilities and Nonequilibrium Structures VI (2000)

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    Article

    On the Nonextensivity of the Long Range X-Y Model

    It will be given analytical and numerical evidence supporting that the X-Y model yields an extensive, i.e., proportional to the number of degrees of freedom N, internal energy U for any value of the interaction r...

    Raúl Toral in Journal of Statistical Physics (2004)

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    Chapter

    Resonance Induced by Repulsive Links

    In nonlinear systems, the right amount of noise can amplify the response to a weak periodic signal, by a phenomenon known as stochastic resonance [1]. It was shown that the same constructive role can be played...

    Teresa Vaz Martins, Raúl Toral in Applications of Nonlinear Dynamics (2009)

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    Article

    The Role of Noise and Initial Conditions in the Asymptotic Solution of a Bounded Confidence, Continuous-Opinion Model

    We study a model for continuous-opinion dynamics under bounded confidence. In particular, we analyze the importance of the initial distribution of opinions in determining the asymptotic configuration. Thus, we...

    Adrián Carro, Raúl Toral, Maxi San Miguel in Journal of Statistical Physics (2013)

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    Article

    The noisy Hegselmann-Krause model for opinion dynamics

    In the model for continuous opinion dynamics introduced by Hegselmann and Krause, each individual moves to the average opinion of all individuals within an area of confidence. In this work we study the effect...

    Miguel Pineda, Raúl Toral, Emilio Hernández-García in The European Physical Journal B (2013)

  9. Article

    Open Access

    The noisy voter model on complex networks

    We propose a new analytical method to study stochastic, binary-state models on complex networks. Moving beyond the usual mean-field theories, this alternative approach is based on the introduction of an anneal...

    Adrián Carro, Raúl Toral, Maxi San Miguel in Scientific Reports (2016)

  10. No Access

    Article

    Modulated class A laser: stochastic resonance in a limit-cycle potential system

    We exploit the knowledge of the nonequilibrium potential in a model for the modulated class A laser. We analyse both, the deterministic and the stochastic dynamics of such a system in terms of the Lyapunov po...

    Catalina Mayol, Raúl Toral, Horacio S. Wio in The European Physical Journal B (2018)

  11. Article

    Open Access

    Endemic infectious states below the epidemic threshold and beyond herd immunity

    The COVID-19 pandemic exhibits intertwined epidemic waves with anomalous fade-outs characterized by persistent low prevalence. These long-living epidemic states complicate epidemic control and challenge curren...

    Javier Aguilar, Beatriz Arregui García, Raúl Toral, Sandro Meloni in Communications Physics (2023)

  12. Article

    Open Access

    Biased versus unbiased numerical methods for stochastic simulations

    Approximate numerical methods are one of the most used strategies to extract information from many-interacting-agents systems. In particular, numerical approximations are of extended use to deal with epidemic,...

    Javier Aguilar, José J. Ramasco, Raúl Toral in Communications Physics (2024)