Sistemes Complexos. Física Estadística i No Lineal

Els sistemes complexos es caracteritzen per fenòmens emergents i col·lectius de moltes unitats que interactuen entre sí. La comprensió bàsica d’aquests sistemes i el paradigma micro-macro prové de la Física Estadística juntament amb els Mètodes Computacionals, la Mecànica Quàntica, la Teoria de la Informació, les Xarxes Complexes, l’Anàlisi de Dades Grans i la Teoria de Sistemes Dinàmics, que engloben l’estudi de la dinàmica no lineal, el caos i l’efecte de les fluctuacions i els esdeveniments aleatoris en l'evolució del sistema.

Aquesta línia d’investigació de caràcter exploratori és la columna vertebral de l’IFISC. Desenvolupem nous conceptes i mètodes per l’estudi del Sistemes Complexos i analitzem fenòmens genèrics com la sincronització, les transicions de fase, les inestabilitats de no equilibri, la formació de patrons espaciotemporals i la dinàmica i evolució de xarxes complexes.

Investigadors

  • Pere Colet

    Pere Colet

  • Miguel C. Soriano

    Miguel C. Soriano

  • 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

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 ...

Ocean Citizen

Marine forest coastal restoration: an underwater gardening socio-ecological plan

I.P.: Damià Gomila
Following the non-achievement of the AICHI targets and most of the Good Environmental Status objectives for 2020, active restoration has been emerged (also envisaged by the EU) as one of the preferred ...

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 ...

OLGRA

Operadores Laplacianos en grafos y redes con repulsores/atractores y dinámicas relacionadas

I.P.: Ernesto Estrada
El uso de grafos está ampliamente extendido como una herramienta matemática para el estudio de diversos sistemas. En Físicas estos son usados en modelos electrónicos de sistemas conjugados, en sistemas de spines, ...

MISLAND

Modelling island ecological complexity in the context of global change

I.P.: Lucas Lacasa, Víctor M. Eguíluz
** This project (PID2020-114324GB-C22) is part of a coordinated project between IFISC and IMEDEA, both research centers from CSIC located in Mallorca. The project is funded by AEI and a PhD fellowship ...

QuTTNAQMa

TRANSPORTE CUANTICO Y TERMODINAMICA: NUEVAS AVENIDAS EN MATERIALES CUANTICOS

I.P.: Rosa Lopez, Llorenç Serra
The aim of this project is to investigate the heat and energy transport properties in nanoconductors considering complex phenomena due to either many-body interactions and/or the presence of quantum materials.

DYNDEEP

Dynamics of Temporal Networks: Memory and Deep Learning

I.P.: Lucas Lacasa
The interaction between elements of a complex system arising in physics, biology or sociology can be modelled as a mathematical graph. The precise architecture of this interaction backbone plays a fundamental role ...

APASOS

A Physics approach to sociotechnical systems: from theory to data analysis.

I.P.: Tobias Galla, Sandro Meloni, Maxi San Miguel, Raúl Toral
APASOS objective is to use mathematical and computational methods combined with data and physics thinking to model complex socio-technical systems. APASOS is organized into two workpackages (WP). WP 1 focuses on models ...

CYCLE

Complex DYnamics of CoastaL Ecosystems: Resilience to Climate Change. Modelling and Simulations.

I.P.: Damià Gomila, Tomás Sintes
Complex Dynamics of Coastal Ecosystems: Resilience to Climate Change (CYCLE) is a coordinated multidisciplinary research project that brings together the efforts of experts in the fields of marine ecology and the physics ...

SEDIMENT

SEagrass DIversity in the MEditerranean basin in a global change scenario: a machine learNing approach from saTellite images

I.P.: Manuel Matías, Tomás Sintes
The main challenge of this project is to correlate the changes in the sea surface temperature (SST) in the Mediterranean basin with the spatial distribution and size of different seagrass species. We ...

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 ...

COVID-SHINE

Understanding the spatio-temporal social determinants of health to improve agent-based modelling of recurrent COVID-19 outbreaks

I.P.: Víctor M. Eguíluz
The project has two general aims: (1) To enhance the ability of modelling strategies to predict the dynamics of recurrent outbreaks of COVID-19 by incorporating novel knowledge of the social determinants of ...

Publicacions recents

Role of Eckhaus instability and pattern cracking in ultraslow dynamics of Kerr combs

Gomila, D.; Parra-Rivas, P.; Colet, P.; Coillet, A.; Lin, G.; Daugey, T.; Diallo, S.; Merolla, J.-M.; Chembo, Y.K.
Physical Review A 106, 053518 (1-7) (2022)

Subharmonic Instabilities in Kerr Microcombs

Lin, Guoping; Liu, Fengyu; Coillet, Aurélien; Gomila, Damià; Menyuk, Curtis R.; Chembo, Yanne K.
Optics Letters accepted, (2022)

Liquid-Hexatic-Solid phases in active and passive Brownian particles determined by stochastic birth and death events

Almodovar, Alejandro; Galla, Tobias; López, Cristóbal
Physical Review E 106, 054130 (2022)

Local and global ordering dynamics in multistate voter models

Ramirez, Lucía; San Miguel, Maxi; Galla, Tobias
PHYSICAL REVIEW E 106, 054307 (1-17) (2022)

Learning unseen coexisting attractors

Gauthier, Daniel J.; Fischer, Ingo; Röhm, André
Chaos 32, 113107 (1-9) (2022)

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