Acá podrán encontrar algunas de las últimas novedades sobre el Grupo de Física No Lineal. También pueden leer más sobre el grupo acá

Ciclo de seminarios virtuales 2021

Continuamos la inciativa del año pasado con el ciclo de seminarios virtuales durante la pandemia. Acá pueden encontrar una lista de los seminarios del año 2021.


Abril de 2020

Los Dres. Daniel Freire y Marcelo Forets fueron premiados junto a Luis Benet, David P. Sanders, y Christian Schilling con el reconocimiento ARCH 2020 Best Result Award por su herramienta de verificación JuliaReach

Ciclo de seminarios durante COVID-19

En vista del distanciamiento social, el grupo de investigación comenzó un ciclo de seminarios online para mantener la interacción entre investigadores y la comunicación de sus trabajos. Aquí pueden encontrar una lista de los seminarios del año 2020.

Nuevas publicaciones del grupo

Estas son las últimas publicaciones hechas por investigadores del grupo. Pueden encontrar una lista más completa de publicaciones en este link.

25/09/2020: ARCH-COMP20 Category Report: Continuous and Hybrid Systems with Linear Continuous Dynamics. Matthias Althoff, Stanley Bak, Zongnan Bao, Marcelo Forets, Daniel Freire, Goran Frehse, Niklas Kochdumper, Yangge Li, Sayan Mitra, Rajarshi Ray, Christian Schilling, Stefan Schupp, and Mark Wetzlinger. 7th International Workshop on Applied Verification of Continuous and Hybrid Systems.

25/09/2020: ARCH-COMP20 Category Report: Continuous and Hybrid Systems with Nonlinear Dynamics. Luca Geretti, Julien Alexandre dit Sandretto, Matthias Althoff, Luis Benet, Alexandre Chapoutot, Xin Chen, Pieter Collins, Marcelo Forets, Daniel Freire, Fabian Immler, Niklas Kochdumper, David P. Sanders, and Christian Schilling. 7th International Workshop on Applied Verification of Continuous and Hybrid Systems.

22/06/2020: Efficient reachability analysis of parametric linear hybrid systems with time-triggered transitions de Marcelo Forets, Daniel Freire, y Christian Schilling fue subido a arvix.

03/05/2020: Acoustical Society of America: Proceedings of Meetings on Acoustics publicó el artículo Vortex dynamics in compliant stenotic aortic models using ultrasonic particle imaging velocimetry de Javier Brum, Miguel Bernal, Nicasio Barrere, Alexandre L’Her, Cecilia Cabeza, y Carlos Negreira.

01/05/2020: Finding the Resistance Distance and Eigenvector Centrality from the Network’s Eigenvalues de Caracé Gutiérrez, Juan Gancio, Cecilia Cabeza, y Nicolás Rubido fue subido a arxiv.

Artículo destacado en AIP Publishing

AIP Publishing destacó el artículo Entropy-based generating Markov partitions for complex systems de Nicolás Rubido, Celso Grebogi y Murilo Baptista en su página, en una columna llamada Taming Chaos: Calculating Probability in Complex Systems. El artículo fue publicado en la revista Caos. ¡Felicitaciones a Nicolás!

Dynamics Days Latin America and the Caribbean 2018

En Noviembre 2018 se celebraró la 5ta edición del Dynamics Days Latin America and the Caribbean, con la organización de Arturo Martí y Nicolás Rubido. Se puede encontrar más información en la página web del congreso.

Puede descargar el póster del congreso haciendo click aquí.

Reconocimientos y Premios

Julio de 2016

El Lic. Federico Abellá fue presentado con un premio a Poster Distinguido (Distinguished Poster) en la Hands-on School in Complex Systems SchoolPágina web de la conferencia. ¡Felicitaciones!

Junio de 2016

El Dr. Nicolás Rubido fue presentado con el Premio a Jóvenes Investigadores (Young Researchers Award) en la conferencia XXXVI Dynamics Days EuropePágina web de la conferencia. ¡Felicitaciones!


Profesores visitantes

27 de Junio – 1 de Julio de 2016

Marcos G. Quiles, Profesor Adjunto, Departamento de Ciencia y Tecnología (DCT), Universidad Federal de San Pablo (UNIFESP): Página web

27 de Junio, 11:00hs – Salón de Seminarios, Instituto de Física, Facultad de Ciencias, UdelaR

Título: Community detection based on particle competition

Resumen: In this talk, we will present a dynamic community detection model based on particle competition. In this model, several particles walk in the network and compete with each other to mark their territory and reject particle intruders. The process reaches dynamics equilibrium when each network community has only one particle. Moreover, we will also show that the best results are achieved when the particle walking is not purely random, but a combination of random and greedy movement. Finally, by introducing a cooperative mechanism, we will point that the model can be applied to semi-supervised machine learning problems.

3-10 de Diciembre de 2015

Dante R. Chialvo, Investigador Principal del CONICET (Argentina), área Física, EMC3 Lab (Estudios Multidisciplinarioes en Complejidad y Ciencias del Cerebro): Página web

4 de Diciembre, 14:30hs – Instituto de Matemática y Estadística “Rafael Laguardia”, Facultad de Ingeniería, UdelaR

Título: The brain is critical

Resumen: Systems which are near an edge between order and disorder behave differently. This intuitive notion led several of us to argue, two decades ago, that the most fundamental properties of the functioning brain are only feasible if it “somehow spontaneously locates itself” at the border of an instability. Supposedly, it is the mix of order and disorder, found generically at criticality, that allows the brain to be a brain. In this talk we review the motivations and then describe experimental results supporting this hypothesis both in health and disease, at various brain scales ranging from a few millimeters up to the entire brain cortex.

9 de Diciembre, 15:00hs – Salón de seminarios del Instituto de Física, Facultad de Ciencias, UdelaR

Título: Complexity, Criticality, Contingency & Consciousness: what they all have in common and why we should care.

Resumen: Results in the area of statistical physics over the last decade shows the spontaneous emergence of Complexity from the interactions of simple components in a variety of systems, whether biological, social, behavioral, political, environmental or technological. Such emergence occurs more often near instabilities, in the boundaries between stable regimes, i.e. near Criticality. In this process of emergence, the idea of Contingent events appears, where small events from the past are judged a posteriori as triggers of unexpected catastrophes. This talk is dedicated to discuss how these three concepts can be understood by a unifying theoretical argument. We start discussing what is complexity in nature, continue with the hypothesis that complexity is always critical. After that, empirical results from large scale brain dynamics are used to advance the hypothesis that the brain is complex because is critical. Finally, our state of awareness (consciousness) is discussed presenting results which suggest that we are conscious whenever our brain is critical.

16-25 de Noviembre de 2015

Rodrigo F. Pereira, Profesor Adjunto, Departamento de Matemáticas, Universidad Tecnológica Federal del Paraná (UTFPR), PR, Brasil.

Título: Finite-time generalized high-order Lyapunov exponents for kicked double rotor

Resumen: The ordinary Lyapunov exponents spectrum describes the average exponential expansion/shrinkage rates of the axis of an infinitesimal ball around a trajectory under the temporal evolution of a dynamical system. These exponents are given by the linearization of the ruling equations. Due to intrinsic nonlinearities present in models that present chaotic dynamics, nonlinear effects, swept off by the linearization, can be crucial in elucidating details of the temporal evolution of such systems. Moreover, since Lyapunov exponents are dynamic invariants computed as an average over an ergodic trajectory, they are ”blind” about local/finite-time fluctuations present in typical chaotic dynamical systems. We present a detailed analysis of the finite-time fluctuations of the generalized high-order Lyapunov exponents for a physical system composed of a periodically kicked double rotor. We focus in its chaotic regime and in the transition from chaos to hyper-chaos as the intensity of the kicks is increased. Generalized high-order Lyapunov exponents are given by the analysis of high-order derivatives of the dynamical equations, which define linear mappings and their effects over the Lyapunov vectors are studied in a similar manner done for ordinary Lyapunov exponents. We study the temporal fluctuations of these high-order Lyapunov exponents for finite-time trajectories and relate their properties with those observed in the chaos / hiper-chaos transition.

22-28 de Febrero de 2015

Rodrigo F. Pereira, Profesor Adjunto, Departamento de Matemáticas, Universidad Tecnológica Federal del Paraná (UTFPR), PR, Brasil.

Título: Effective dynamics for time-varying networks

Resumen: In this talk I will review some of the recent developments on studying collective behaviour in networks of coupled chaotic systems, emphasizing on networks whose topology is time-dependent and how an effective static network can be obtained.

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