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

  • Massimiliano Zanin

    Massimiliano Zanin

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, ...

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.

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 ...

IBERSINC3

IBERSINC3: RED SOBRE DINAMICA Y SINCRONIZACION EN REDES COMPLEJAS

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

Recent Publications

Cell migration in cancer metastasis

Pedrosa Garcia-Moreno, Marta; (Advisors: Sintes, Tomás; Janssen, Liesbeth; Storm, Cornelis)
Master Thesis (2021)

Survival and Extreme Statistics of Work in Steady-State Heat Engines

Manzano, Gonzalo; Roldán, Édgar
Submitted (2021)

Deep neural networks using a single neuron: folded-in-time architecture using feedback-modulated delay loops

Stelzer, Florian; Röhm, Andre; Vicente, Raul; Fischer, Ingo; Yanchuk, Serhiy
Nature Communications 12, 5164 (1-10) (2021)

Ordinal patterns-based methodologies for distinguishing chaos from noise in discrete time series

Zanin, Massimiliano; Olivares, Felipe
Communications Physics 4, 190 (2021)

Eigenvalues of random matrices with generalised correlations: a path integral approach

Baron, Joseph William; Jewell, Thomas Jun; Ryder, Christopher; Galla, Tobias
Submitted (2021)

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