Complex Systems. Nonlinear and Statistical Physics

Complex systems are characterized by emergent and collective phenomena of many interacting units. Fundamental understanding of these systems and the Micro-Macro paradigm, comes from Statistical Physics together with Computational Methods, Quantum Mechanics, Information Theory, Complex Networks, Big Data analysis and the Theory of Dynamical Systems, which includes the study of nonlinear dynamics, chaos and the effect of fluctuations and random events on system’s evolution.

This research line of exploratory nature is the backbone of IFISC: We develop new concepts and methods for the study of Complex Systems, and we analyze generic phenomena such as synchronization, phase transitions, nonequilibrium instabilities, spatiotemporal pattern formation, and the dynamics and evolution of complex networks.

Researchers

  • Pere Colet

    Pere Colet

  • Ingo Fischer

    Ingo Fischer

  • Damià Gomila

    Damià Gomila

  • Emilio Hernández-García

    Emilio Hernández-García

  • Rosa López

    Rosa López

  • Cristóbal López

    Cristóbal López

  • Víctor M. Eguíluz

    Víctor M. Eguíluz

  • Manuel Matías

    Manuel Matías

  • Sandro Meloni

    Sandro Meloni

  • Claudio Mirasso

    Claudio Mirasso

  • Jose Javier Ramasco

    Jose Javier Ramasco

  • Maxi San Miguel

    Maxi San Miguel

  • David Sánchez

    David Sánchez

  • Llorenç Serra

    Llorenç Serra

  • Tomás Sintes

    Tomás Sintes

  • Raúl Toral

    Raúl Toral

  • Roberta Zambrini

    Roberta Zambrini

  • Miguel C. Soriano

    Miguel C. Soriano

  • Nagi Khalil

    Nagi Khalil

  • Konstantin Klemm

    Konstantin Klemm

Ongoing Research projects

EPheQuCS

Emergent phenomena and decoherence in quantum complex systems

P.I.: Roberta Zambrini
Impressive progress in isolating and manipulating single quantum systems and recent developments in secure communications, sensors, metrology and computation, based on quantum physics and information are at the basis of the envisaged ...

SPASIMM

Spatiotemporality in sociobological interactions, models and methods

P.I.: Konstantin Klemm, Víctor M. Eguíluz
The Physics of Complex Systems is experiencing an important research activity, first due to the development of the Theory of Complex Networks, and second due to Big Data. The model driven approach ...

RFE2017

Red de física estadística de no equilibrio y sus aplicaciones multidisciplinares

P.I.: David Sánchez
Spanish network on nonequilibrium statistical physics and its multidisciplinary applications

Recent Publications

Multilayer coevolution dynamics of the nonlinear voter model

Min, Byungjoon; San Miguel, Maxi
New Journal of Physics 21, 035004 (2019)

Observation of the Eckhaus Instability in Whispering-Gallery Mode Resonators

Gomila, D.; Parra-Rivas, P.; Colet, P.; Coillet, A.; Lin, G.; Chembo, Y.K.
submitted, (2019)

Coordination in a skeptical two-group population

González-Avella, Juan Carlos; Lugo, Haydée; San Miguel, Maxi
Journal of Economic Interaction and Coordination 14, 203-214 (2019)

Networks in Climate

Dijkstra,H.A.; Hernández-García, E.; Masoller, C.; Barreiro, M.
, Cambridge University Press (2019)

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