Sistemas Complejos. Física Estadística y No Lineal

Los sistemas complejos se caracterizan por fenómenos emergentes y colectivos de muchas unidades que interactúan entre sí. La comprensión fundamental de estos sistemas y el paradigma micro-macro proviene de la Física Estadística junto con los Métodos Computacionales, la Mecánica Cuántica, la Teoría de la Información, las Redes Complejas, el Análisis de Datos Grandes y la Teoría de Sistemas Dinámicos, que incluye el estudio de la dinámica no lineal, el caos y el efecto de las fluctuaciones y los eventos aleatorios en la evolución del sistema.

Esta línea de investigación de carácter exploratorio es la columna vertebral del IFISC. Desarrollamos nuevos conceptos y métodos para el estudio de los Sistemas Complejos y analizamos fenómenos genéricos como la sincronización, transiciones de fase, inestabilidades de no equilibrio, formación de patrones espaciotemporales y la dinámica y evolución de redes complejas.

Investigadores

  • 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

  • Massimiliano Zanin

    Massimiliano Zanin

Recent and ongoing Research projects

ARCTIC

Air Transport as Information and Computation

I.P.: Massimiliano Zanin
This project is an ERC Starting Grant of panel SH2, "Institutions, Values, Environment and Space". Air transport has by and large been studied as a transportation process, in which different elements, e.g. ...

POST-DIGITAL

POST-DIGITAL: Neuromorphic computing in photonic and other nonlinear media

I.P.: Ingo Fischer, Claudio Mirasso
POST-DIGITAL is a Marie Skłodowska-Curie Innovative Training Network, funded by the European Union’s Horizon 2020 research and innovation programme POST-DIGITAL is committed to form a new generation of engineers and researchers, affording ...

EPheQuCS

Emergent phenomena and decoherence in quantum complex systems

I.P.: 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

I.P.: 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 ...

PACSS

Physics approach to complexity in sociotechnical systems

I.P.: 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

I.P.: 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

I.P.: 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 ...

ESPoM

Ecosystemic Services in Posidonia oceanica Meadows

I.P.: Tomás Sintes
Identify the relevant interaction mechanisms in Posidonia oceanica (Po) meadows based on field data. Estimate the vulnerability of seagrasses in an scenario of climate change and environmental degradation. Analyze the climate change ...

RFE2017

Red de física estadística de no equilibrio y sus aplicaciones multidisciplinares

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

IBERSINC3

IBERSINC3: RED SOBRE DINAMICA Y SINCRONIZACION EN REDES COMPLEJAS

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

Publicaciones recientes

Pair approximation for the noisy threshold q-voter model

R. Vieira, Allan; F. Peralta, Antonio; Toral, Raúl; San Miguel, Maxi; Anteneodo, Celia
Physical Review E 101, 052131 (2020)

Unveiling the role of plasticity rules in reservoir computing

Morales, Guillermo B.; Mirasso, Claudio R.; Soriano, Miguel C.
Neurocomputing , (2020)

Adsorption transition of grafted ferromagnetic filaments controlled by external magnetic fields

Sánchez, Pedro A.; Novak, Ekaterina V.; Pyanzina, Elena S.; Kantorovich, Sofia S.; Cerdà, Joan J.; Sintes, Tomas
Phys. Rev. E , (2020)

Effects of demand control on the complex dynamics of electric power system blackouts

Carreras, Benjamin A.; Tchawou Tchuisseu, Eder Batista; Reynolds-Barredo, José M.; Gomila, Damià; Colet, Pere
Submitted for publication , (2020)

Adiós al padre del caos

Galla, Tobias
El Pais, , 4 May (2020)

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