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

Recent and ongoing Research projects

ARCTIC

Air Transport as Information and Computation

P.I.: 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

P.I.: 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 ...

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 ...

OLGRA

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

P.I.: 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

P.I.: 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

P.I.: 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

P.I.: 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 ...

ESPoM

Ecosystemic Services in Posidonia oceanica Meadows

P.I.: 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

P.I.: 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 ...

Recent Publications

Sampling rare trajectories in stochastic systems

Sara Oliver Bonafoux (Supervisors: Raúl Toral, Tobias Galla)
Master Thesis (2022)

Analytical and numerical treatment of continuous ageing in the voter model

Baron,J.W;Peralta, A.F;Galla, T;Toral,R.
Entropy 24, 1331 (2022)

Bifurcation structure of traveling pulses in Type-I excitable media

Moreno-Spiegelberg, Pablo; Arinyo-i-Prats, Andreu; Ruiz-Reynés, Daniel; Matias, Manuel A.; Gomila, Damià
Physical Review E 106, 034206 (1-15) (2022)

Nonlocal quantum heat engines made of hybrid superconducting devices

Tabatabaei, S. M.; Sánchez, D.; Levy Yeyati, A.; Sánchez, R.
Physical Review B 106, 115419 (1-13) (2022)

Aging in binary-state models: The Threshold model for Complex Contagion

Abella, David; San Miguel, Maxi; Ramasco, José J.
Submitted (2022)

Related News

Modelling the deadly noble pen shell (Pinna nobilis) epidemic

Sept. 14, 2022
A model designed by researchers from IFISC (UIB-CSIC), in collaboration with IMEDEA (UIB-CSIC), LIMIA (IRFAP) and INAGEA, develops an epidemiological model to comprehend marine epizooticsIn a new article written by IFISC and the University of Buenos Aires, the researchers analyse ...

The shape of memory in temporal networks

Jan. 25, 2022
An international team of researchers, with participation of IFISC (UIB-CSIC), have proposed a mathematical framework to estimate the memory structure of temporal networks. These findings are published in the latest issue Nature Communications.Temporal Networks (those whose structure changes over ...

The World-Wide Waste Web, the network through which our garbage travels

March 29, 2022
IFISC researchers have identified which 57 countries in the world are at high risk of waste congestion.The study, published in Nature Communications, has analyzed global networks for the exchange of different types of litter between 2001 and 2019.A ...

Assessing blackout risk in the power grid with high penetration of variable renewable energies

Sept. 27, 2021
Renewable energies related to the sun or wind will be decisive in the transition to a 100% renewable energy system. These energy sources have many advantages in terms of cost, efficiency and sustainability, but they also represent a risk in ...

Deep Neural Networks using a single neuron

Sept. 14, 2021
Deep Neural Networks (DNNs) are a useful tool for a wide range of tasks such as image classification, object detection, image resizing or text generation. They are extremely powerful, but they require sufficient computing power and large data sets to ...

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