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

  • Damià Gomila

    Damià Gomila

  • Emilio Hernández-García

    Emilio Hernández-García

  • Rosa López

    Rosa López

  • Cristóbal López

    Cristóbal López

  • Víctor M. Eguíluz

    Víctor M. Eguíluz

  • Manuel Matías

    Manuel Matías

  • Claudio Mirasso

    Claudio Mirasso

  • Jose Javier Ramasco

    Jose Javier Ramasco

  • Maxi San Miguel

    Maxi San Miguel

  • David Sánchez

    David Sánchez

  • Llorenç Serra

    Llorenç Serra

  • Tomàs Sintes

    Tomàs Sintes

  • Raúl Toral

    Raúl Toral

  • Roberta Zambrini

    Roberta Zambrini

  • Miguel C. Soriano

    Miguel C. Soriano

  • Agnieszka Czaplicka

    Agnieszka Czaplicka

  • Fernando Galve

    Fernando Galve

  • Nagi Khalil

    Nagi Khalil

  • Konstantin Klemm

    Konstantin Klemm

  • Byungjoon Min

    Byungjoon Min

  • Silvia Ortín

    Silvia Ortín

Ongoing Research projects

QuProCS

Quantum Probes for Complex Systems

P.I.: Roberta Zambrini
We are on the verge of a new scientific and technological era as the first quantum simulators able to investigate physical systems that cannot be studied classically are about to be built ...

SET@QT

Espintrónica, Energía y Topología en el Transporte Cuántico

P.I.: Rosa López, David Sánchez
The emphasis of the proposed research is on novel concepts, prospects and fundamental breakthroughs in the field of quantum transport at the nanoscale. It is focused on three cutting-edge research sub-fields: Topology, ...

ESoTECoS

Emergent social, technical and ecological complex systems

P.I.: Pere Colet, Maxi San Miguel, Raúl Toral
The project ESoTECoS constitutes an approximation from the perspective of the physics of complex systems to the societal challenges within the field of Social Changes and Innovation. The project background lays in ...

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 ...

NeuroQNet

Neuromorphic Computing using Quantum Dot - Networks

P.I.: Ingo Fischer
The ever-increasing demand for information processing of massive data volumes at ultra-high bit rates requires novel computing concepts and their implementation in unconventional hardware. The main objective (OI) of this project is ...

KNOWeSCAPE

Analyzing the dynamics of information and knowledge landscapes

P.I.: Maxi San Miguel
There is no escape from the expansion of information, so that structuring and locating meaningful knowledge becomes ever more difficult. This Action will tackle this urgent problem using the unique networking and ...

Recent Publications

On the shape of semantic space - what can we infer from large-scale statistical properties of texts?

Czegel,Daniel (Supervisor: Maxi San Miguel)
Master Thesis (2017)

Introduction to Focus Issue: Complex network perspectives on flow systems

Donner, Reik V. ; Hernandez-Garcia, Emilio; Ser-Giacomi, Enrico
Chaos 27, 035601 (1-5) (2017)

Encryption key distribution via chaos synchronization

Keuninckx, L.; Soriano, M. C.; Fischer, I.; Mirasso, C. R.; Nguimdo, R. M.; Van der Sande, G.
Scientific Reports 7, 43428 (2017)

Front interaction induces excitable behavior

Parra-Rivas, P.; Matias, M.A.; Colet, P.; Gelens, L.; Walgraef, D.; Gomila, D.
Physical Review E 95, 020201(R) (1-4) (2017)

Clustering coefficient and periodic orbits in flow networks

Rodriguez-Mendez, V.; Ser-Giacomi, E.; Hernandez-Garcia, E.
Chaos 27, 035803 (1-9) (2017)

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