Timoteo Carletti

Full Professor

University of Namur

Belgium

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About

Timoteo Carletti is a Full Professor at Université de Namur, Belgium. His research focuses on higher-order interactions in complex systems, with recent contributions to the fields of swarmalators, Kuramoto oscillators, and the dynamics of higher-order networks. He has published articles exploring synchronization phenomena and Turing patterns, advancing the understanding of complex dynamic systems.

Articles (29)

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Collaborators (15)

Marie Simonin

FRANCE

Timoteo Carletti

Research Interests

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About

Articles (29)

Hamiltonian control to desynchronize Kuramoto oscillators with higher-order interactions

On the location and the strength of controllers to desynchronize coupled Kuramoto oscillators

Strategy to control synchronized dynamics in swarmalator systems

Beyond the bifurcation scenarios in vertical-cavity surface-emitting lasers with optical injection

A Two-Dimensional Swarmalator Model with Higher-Order Interactions

Global Topological Dirac Synchronization

Topology shapes dynamics of higher-order networks

Global topological synchronization of weighted simplicial complexes

Emergence of power-law distributions in self-segregation reaction-diffusion processes

COMPLEX CONTAGION IN SOCIAL SYSTEMS WITH DISTRUST

Speed-accuracy trade-offs in best-of- n collective decision making through heterogeneous mean-field modeling

Global synchronization on time-varying higher-order structures

Phase chimera states on nonlocal hyperrings

The three way Dirac operator and dynamical Turing and Dirac induced patterns on nodes and links

Synchronization in adaptive higher-order networks

Impact of directionality on the emergence of Turing patterns on m-directed higher-order structures

Turing patterns on discrete topologies: from networks to higher-order structures

Mean species responses predict effects of environmental change on coexistence

Global Topological Synchronization on Simplicial and Cell Complexes

Recurrent Spectral Network (RSN): Shaping a discrete map to reach automated classification

Turing patterns in systems with high-order interactions

Revisiting weak values through non-normality

Pattern reconstruction through generalized eigenvectors on defective networks

Diffusion-driven instability of topological signals coupled by the Dirac operator

Non-reciprocal interactions enhance heterogeneity

Synchronization induced by directed higher-order interactions

Finite propagation enhances Turing patterns in reaction–diffusion networked systems

Training of sparse and dense deep neural networks: Fewer parameters, same performance

Random walks and community detection in hypergraphs

Collaborators (15)

Marie Simonin

Martin Moriamé

Gonzalo Marcelo Ramírez-Ávila

Camille Carpentier

Yves Caudano

Filippo Radicchi

Géza Meszéna

Ginestra Bianconi

Andreagiovanni Reina

Thierry Njougouo

F. De Laender

Malbor Asllani

Luca Gallo

Riccardo Muolo

Hanlin Sun

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