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L’eredità di Enrico Fermi. Le sfide del futuro

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Il CREF nasce con la duplice anima di Centro di Ricerca e di Museo Storico, con l’intento di conservare e diffondere la memoria di Enrico Fermi, oltre che favorire un’ampia diffusione e comunicazione della cultura scientifica.

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la ricerca

Il CREF promuove linee di ricerca originali e di grande impatto, improntate ai metodi della fisica, ma con un forte carattere interdisciplinare e in relazione con i principali problemi della moderna società della conoscenza.

Statistical Physics and Complex Systems in Natural Sciences

Immagine evocativa per la fisica statistica

the research Ecco una traduzione professionale, fluida e ottimizzata per il web, che mantiene il tono accademico e scientifico del testo originale: The Statistical Physics and Complex Systems in Natural Sciences project is structured into closely interconnected lines of research, focused on the multiscale understanding and modeling of natural complex systems. The main directions include: […]

Networks with Many Structural Scales: A Renormalization Group Perspective

Cervello umano visto dall'alto al centro di un ingranaggio blu, circondato da esagoni e nodi di rete su sfondo nero

We live in a world of interconnected systems. From the intricate web of the internet to the complex network of neurons in our brains, understanding how these connections work is crucial. One key concept in understanding these complex systems is “scale invariance.” This means that the system looks similar at different levels of detail. For […]

Multi-scale Laplacian community detection in heterogeneous networks

Rete a stella partizionata da LRG, Walktrap, Leiden e Infomap con esiti diversi; grafico 1-S e C log N vs τ per L̂ e L̂_RW

Phys. Rev. Research 7, 013065 – Published 17 January, 2025 DOI: https://doi.org/10.1103/PhysRevResearch.7.013065 Authors: Pablo Villegas (CREF), Andrea Gabrielli (CREF, Roma 3), Anna Poggialini (CREF, Sapienza), Tommaso Gili (IMT Scuola Alti Studi Lucca , ISC) Abstract: Heterogeneous and complex networks represent intertwined interactions between real-world elements or agents. Determining the multiscale mesoscopic organization of clusters and intertwined structures is […]

Lipari School 2024: Complex Systems from economics to biology and brain

Locandina Lipari School, 1-7 luglio 2024: "Complex networks: from socio-economic systems to biology and the brain", Centro Ricerche Enrico Fermi

The 2024 edition of the Lipari Summer School on Complex Systems will take place from July 1st to July 7th. Organised by, among others, our Scientific Director Andrea Gabrielli and Tiziana di Matteo, a member of the CREF CDA’s board of directors, it will bring together experts in complex systems from all over the world. […]

“Forecasting the countries’ gross domestic product growth: The case of Technological Fitness”

Padiglione Jiaxiu a Guiyang sul fiume Nanming al crepuscolo, con ponte in pietra ad archi e grattacieli illuminati

Forecasting the countries’ gross domestic product growth: The case of Technological Fitness Authors: Orazio Angelini (King’s College London), Andrea Gabrielli (CREF- Roma3) Andrea Tacchella (CREF)  Andrea Zaccaria (ISC-CNR, Roma3),   Luciano Pietronero (CREF, ISC-CNR), Tiziana Di Matteo (CREF, King’s College London, CSH Vienna) in Chaos, Solitons and Franctals vol 184 https://doi.org/10.1016/j.chaos.2024.115006 The cornerstone of Economic Complexity […]

Evidence of scale-free clusters of vegetation in tropical rainforests

Grafico della transizione di fase di percolazione continua: oltre il punto critico del raggio d'interazione, i cluster isolati si uniscono in uno solo

Tropical rainforests exhibit a rich repertoire of spatial patterns emerging from the intricate relationship between the microscopic interaction between species. In particular, the distribution of vegetation clusters can shed much light on the underlying process that regulates the ecosystem. Analyzing the distribution of vegetation clusters at different resolution scales, we show the first robust evidence […]

Uncovering Networks in Rainforest Plants

Foresta pluviale tropicale fitta di vegetazione, con felci, palme, grandi foglie verdi, tronchi coperti di muschio e liane pendenti

The resilience of an ecosystem to environmental and human-induced change may depend on how the system’s plants are arranged. Do they form patchy clumps or networks extending over the whole terrain? A team of researchers in Italy, led by Pablo Villegas, has now shown that, in a tropical rainforest in Panama, the dominant plant species […]

Noise cleaning the precision matrix of short time series

Grafico a linee della distanza da C_v per metodi di stima: tutte crescono; RIE e caut-PCA più basse, dati grezzi e PCA più alte

Miguel Ibáñez-Berganza (Networks Unit, IMT School for Advanced Studies Lucca and Istituto Italiano di Tecnologia, Napoli), Carlo Lucibello (AI Lab, Institute for Data Science and Analytics, Bocconi University, Milano), Francesca Santucci and Tommaso Gili( Networks Unit, IMT School for Advanced Studies Lucca), Andrea Gabrielli (Dipartimento di Ingegneria Civile, Informatica e delle Tecnologie Aeronautiche, Universitá degli […]

A zoom lens for networks

Diagramma di rinormalizzazione: i nodi di una rete (Network) sono raggruppati per colore nel Metagraph e fusi in una rete rinormalizzata più piccola

Renormalization is a technique based on a repeated coarse-graining procedure used to study scale invariance and criticality in statistical physics. Now, an expansion of the renormalization toolbox allows to explore scale invariance in real-world networks.  Kostastin Klemmer commented on Laplacian renormalization group for heterogeneous networks   Read the Article in PDF

Laplacian renormalization group for heterogeneous networks

Diagramma di rinormalizzazione: i nodi di una rete (Network) sono raggruppati per colore nel Metagraph e fusi in una rete rinormalizzata più piccola

Laplacian renormalization group for heterogeneous networks Authors : Pablo Villegas, Tommaso Gili, Guido Caldarelli & Andrea Gabrielli  Published in: Nature Physics 19, pages445–450 (2023) The renormalization group is the cornerstone of the modern theory of universality and phase transitions, and it is a powerful tool to scrutinize symmetries and organizational scales in dynamical systems. However, its application to complex networks […]