2022 - James Yorke Award for breakthrough achievements in Nonlinear Dynamics and Chaos
2022 - Member of the Scientific Advisory Council of the GADEA Foundation for Science (CCA-FGC)
2020 - Chieh-Su Hsu Award for distinguished scholars in Nonlinear Dynamics and Control
2017 - Member of Academia Europaea
2015 - Member of the Spanish Royal Academy of Sciences
2008 - Foreign Member of the Lithuanian Academy of Sciences
His scientific interests lie mostly in Classical mechanics, Nonlinear system, Fractal, Statistical physics and Amplitude. He combines subjects such as Phase space, Dissipation, Bifurcation and Dissipative system with his study of Classical mechanics. Miguel A. F. Sanjuán undertakes multidisciplinary studies into Nonlinear system and Exponent in his work.
His research in Fractal intersects with topics in Dynamical systems theory, Chaotic, Entropy, Hamiltonian and Entropy. His work deals with themes such as Random element, Random field and Contrast, which intersect with Statistical physics. His research integrates issues of Resonance, Control theory and Signal in his study of Amplitude.
Miguel A. F. Sanjuán mostly deals with Chaotic, Nonlinear system, Statistical physics, Control theory and Dynamical systems theory. Within one scientific family, Miguel A. F. Sanjuán focuses on topics pertaining to Classical mechanics under Chaotic, and may sometimes address concerns connected to Dissipative system and Dissipation. His research investigates the connection with Nonlinear system and areas like Mathematical analysis which intersect with concerns in Bifurcation.
His Statistical physics research is multidisciplinary, incorporating perspectives in Lyapunov exponent, Predictability, Attractor, Chaotic scattering and Fractal. His Control theory study integrates concerns from other disciplines, such as Electronic circuit and Forcing. His Dynamical systems theory study combines topics in areas such as Boundary and Topology.
Statistical physics, Phase space, Chaotic, Signal and Stochastic resonance are his primary areas of study. His study in Statistical physics is interdisciplinary in nature, drawing from both Dynamical systems theory, Fractal, Chaotic scattering and Predictability. His Chaotic scattering research is multidisciplinary, relying on both Hamiltonian system and Classical mechanics.
His Phase space research incorporates elements of Numerical analysis and Attractor. His Chaotic research includes elements of Function, Topology, Initial value problem and Control theory. His research ties Nonlinear system and Stochastic resonance together.
His primary areas of study are Signal, Algorithm, Stochastic resonance, Vibrational resonance and Noise. His Signal research focuses on Piecewise and how it relates to Sampling. His Stochastic resonance study frequently draws connections to other fields, such as Nonlinear system.
His studies deal with areas such as Quantum electrodynamics, Energy, Signal processing, Sequence and Polynomial as well as Nonlinear system. Miguel A. F. Sanjuán usually deals with Vibrational resonance and limits it to topics linked to Bistability and Moment, Complex system and Fractional Fourier transform. Miguel A. F. Sanjuán interconnects Dynamical systems theory, Phase space and Perturbation in the investigation of issues within Mathematical analysis.
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Fractal structures in nonlinear dynamics
Jacobo Aguirre;Ricardo L. Viana;Miguel A. F. Sanjuán.
Reviews of Modern Physics (2009)
Free, restrained and drying shrinkage of cement mortar composites reinforced with vegetable fibres
Romildo D. Toledo Filho;Khosrow Ghavami;Miguel A. Sanjuán;George L. England.
Cement & Concrete Composites (2005)
Map-based models in neuronal dynamics
B. Ibarz;J.M. Casado;M.A.F. Sanjuán.
Physics Reports (2011)
Wada basins and chaotic invariant sets in the Hénon-Heiles system
Jacobo Aguirre;Juan C. Vallejo;Miguel A. F. Sanjuán.
Physical Review E (2001)
True and false forbidden patterns in deterministic and random dynamics
J. M. Amigó;S. Zambrano;M. A. F. Sanjuán.
EPL (2007)
Experimental evidence, numerics, and theory of vibrational resonance in bistable systems.
J. P. Baltanás;L. López;I. I. Blechman;P. S. Landa.
Physical Review E (2003)
Basin entropy: a new tool to analyze uncertainty in dynamical systems.
Alvar Daza;Alexandre Wagemakers;Bertrand Georgeot;David Guéry-Odelin.
Scientific Reports (2016)
Vibrational resonance in a noise-induced structure.
Alexei A. Zaikin;L López;J. P. Baltanás;Jürgen Kurths.
Physical Review E (2002)
Combinatorial detection of determinism in noisy time series
J. M. Amigó;S. Zambrano;M. A. F. Sanjuán.
EPL (2008)
Effect of silica fume fineness on the improvement of Portland cement strength performance
Miguel Ángel Sanjuán;Cristina Argiz;Jaime C. Gálvez;Amparo Moragues.
Construction and Building Materials (2015)
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