Raúl Toral
- IFISC (CSIC-UIB)
- Campus Universitat de les Illes Balears E-07122 Palma de Mallorca. Spain
- Office 212
- +34 971 17 32 35
- Contact
- Web page: http://ifisc.uib-csic.es/raul
Profile
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/
UIB Page: https://www.uib.eu/personal/ABDQ0NjQ/
Recent Publications
Generation of stochastic trajectories: applications to complex systems
Aguilar, Javier (Advisors: Toral, Raul & Ramasco, Jose J.)PhD Thesis (2023)
Ordinal analysis of lexical patterns
Sánchez, David; Zunino, Luciano; De Gregorio, Juan; Toral, Raúl; Mirasso, ClaudioChaos 33, 033121 (1-12) (2023)
Endemic infectious states below the epidemic threshold and beyond herd immunity
Javier Aguilar, Raúl Toral, Sandro Meloni, Jose J. Ramasco, (2023)
An improved estimator of Shannon entropy with applications to systems with memory
De Gregorio, Juan; Sánchez, David; Toral, RaúlChaos, Solitons and Fractals 165, 112797 (1-9) (2022)
Partisan voter model: noise-induced transitions
Llabrés Rubio,Jaume (Supervisors: Maxi San Miguel, Raúl Toral)Master Thesis (2022)
Ongoing Research projects
APASOS
A Physics approach to sociotechnical systems: from theory to data analysis.
P.I.: 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 ...
MdM-IFISC-2
Maria de Maeztu 2023-2026
P.I.: Ernesto Estrada, Ingo Fischer, Emilio Hernández-García, Rosa Lopez, Víctor M. Eguíluz, 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 ...