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

  • Tobias Galla

    Tobias Galla

  • Damià Gomila

    Damià Gomila

  • Emilio Hernández-García

    Emilio Hernández-García

  • Rosa Lopez

    Rosa Lopez

  • 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

  • Konstantin Klemm

    Konstantin Klemm

Recent and 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 ...

IBERSINC3

IBERSINC3: RED SOBRE DINAMICA Y SINCRONIZACION EN REDES COMPLEJAS

P.I.: Miguel C. Soriano
Research Network in dynamics and synchronization of complex networks.

PACSS

Physics approach to complexity in sociotechnical systems

P.I.: Sandro Meloni, Jose Javier Ramasco, Maxi San Miguel, Raúl Toral
This project, Physics approach to complexity in sociotechnical systems (PACSS), wants to contribute to the understanding of sociotechnical phenomena from the perspective provided by the application of the modern field of complex ...

SuMaECO

Sustainability of marine coastal ecosystems in the context of global change in the Mediterranean sea: Modeling and simulations

P.I.: Damià Gomila, Tomás Sintes
The SuMaEco project is an interdisciplinary effort to try to understand the effects of global change on coastal marine ecosystems in the Mediterranean Sea by combining data, models and simulations. With global ...

HOINK

Higher-Order Interactions in complex NetworKs

P.I.: Sandro Meloni
The main idea behind the project is to move from the classical view of dyadic interactions in complex systems to higher order models that include larger groups of elements and different structural ...

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

Termoelectricidad cuántica: conversión de energía a escala nanométrica

Sánchez, D.; Sánchez, R.
Revista Española de Física 34, 11-16 (2020)

Altruism in populations at the extinction transition

Klemm, Konstantin; Khalil, Nagi
Physical Review Research (accepted) , (2020)

Ecological communities from random generalized Lotka-Volterra dynamics with nonlinear feedback

Sidhom, Laura; Galla, Tobias
Physical Review E 101, 032101 (1-15) (2020)

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