Raúl Toral
Deputy Director
- IFISC (CSIC-UIB)
- Campus Universitat de les Illes Balears E-07122 Palma de Mallorca. Spain
- Oficina 212
- +34 971 17 32 35
- Contact
- Pàgina web: http://ifisc.uib-csic.es/raul
Perfil
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/
Publicacions recents
Noisy kinetic-exchange opinion model with aging
Vieira,Allan R.;Llabrés,Jaume;Toral,Raúl;Anteneodo,CeliaPhys. Rev. E 109, 064119 (2024)
Biased versus unbiased numerical methods for stochastic simulations
Aguilar,Javier;Ramasco,Jose J.;Toral,RaúlCommunications Physics 7, 155 (2024)
Aging in some opinion formation models: a comparative study
Llabrés,Jaume;Oliver-Bonafoux,Sara;Anteneodo,Celia;Toral,RaúlPhysics 6, 515-528 (2024)
Exploring language relations through syntactic distances and geographic proximity
De Gregorio, Juan; Toral, Raúl; Sánchez, DavidSubmitted (2024)
Entropy Estimators for Markovian Sequences: A Comparative Analysis
De Gregorio, J.; Sánchez, D.; Toral, R. Entropy 26, 79 (1-26) (2024)
Projectes de recerca recents i vigents
APASOS
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 ...
MdM-IFISC-2
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 ...