Raúl Toral

Raúl Toral Garcés
Fields of current interest: Statistical and nonlinear Physics, stochastic processes, numerical solutions of stochastic differential equations, noise induced transitions, Monte Carlo methods, dynamical models of neurons, simulations of social agents, synchronization of dynamical systems, complex networks, constructive role of heterogeneity.

UIB Page: https://www.uib.eu/personal/ABDQ0NjQ/

Publicaciones recientes

Language dynamics within adaptive networks: an agent-based approach of nodes and links coevolution

Charalambous, C.; Sánchez, D.; Toral, R.
Frontiers in Complex Systems 1, 1304448 (1-12) (2023)

Anticipated synchronization in stochastic individual-based models

Ortiz del Campo,David, (Supervisors: Raul Toral, Tobias Galla)
Master Thesis (2023)

Endemic infectious states below the epidemic threshold and beyond herd immunity

Aguilar, Javier; Arregui García, Beatriz; Toral, Raúl; Meloni, Sandro; Ramasco, José J.;
Communications Physics 6, (2023)

Partisan Voter Model: Stochastic description and noise-induced transitions

Llabres, Jaume; San Miguel, Maxi; Toral, Raul
Phys. Rev. E 108, 054106 (2023)

Generation of stochastic trajectories: applications to complex systems

Aguilar, Javier (Advisors: Toral, Raul & Ramasco, Jose J.)
PhD Thesis (2023)

Proyectos de investigación vigentes


A Physics approach to sociotechnical systems: from theory to data analysis.

I.P.: Tobias Galla, Sandro Meloni, Maxi San Miguel, Raúl Toral
APASOS objective is to use mathematical and computational methods combined with data and physics thinking to model complex socio-technical systems. APASOS is organized into two workpackages (WP). WP 1 focuses on models ...


Maria de Maeztu 2023-2026

I.P.: Ernesto Estrada, Ingo Fischer, Emilio Hernández-García, Rosa Lopez, Claudio Mirasso, Jose Javier Ramasco, Raúl Toral, Roberta Zambrini
After 15 years of its existence, IFISC can point to a proven track record of impactful research. The previous 2018-2022 MdM award has significantly enhanced the institute's capabilities, as demonstrated by an ...

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