S
Santiago Madruga
Researcher at Technical University of Madrid
Publications - 39
Citations - 964
Santiago Madruga is an academic researcher from Technical University of Madrid. The author has contributed to research in topics: Prandtl number & Marangoni effect. The author has an hindex of 17, co-authored 36 publications receiving 798 citations. Previous affiliations of Santiago Madruga include Max Planck Society & University of Navarra.
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Journal ArticleDOI
Discovery of a Low-Mass Brown Dwarf Companion of the Young Nearby Star G 196-3
Rafael Rebolo,Maria Rosa Zapatero Osorio,Santiago Madruga,Víctor J. S. Béjar,Santiago Arribas,Javier Licandro +5 more
TL;DR: A substellar-mass object in orbit at about 300 astronomical units from the young low-mass star G 196-3 was detected by direct imaging as mentioned in this paper, and its mass was estimated at 25-10+15 Jupiter masses.
Journal ArticleDOI
Multiple attractors, long chaotic transients, and failure in small-world networks of excitable neurons
TL;DR: It is found that persistent activity emerges at low density of shortcuts, and that the system undergoes a transition to failure as their density reaches a critical value, with multiple stable periodic attractors below this transition.
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Decomposition driven interface evolution for layers of binary mixtures. I. Model derivation and stratified base states
TL;DR: In this paper, a dynamical model is proposed to describe the coupled decomposition and profile evolution of a free surface film of a binary mixture, which is based on model-H describing the coupled transport of the mass of one component (convective Cahn-Hilliard equation) and momentum (Navier-Stokes-Korteweg equations) supplemented by appropriate boundary conditions at the solid substrate and the free surface.
Journal ArticleDOI
Decomposition driven interface evolution for layers of binary mixtures: I. Model derivation and stratified base states
TL;DR: In this paper, a dynamical model is proposed to describe the coupled decomposition and profile evolution of a free surface film of a binary mixture, which is based on model-H describing the coupled transport of the mass of one component (convective Cahn-Hilliard equation) and momentum (Navier-Stokes-Korteweg equations) supplemented by appropriate boundary conditions at the solid substrate and the free surface.
Journal ArticleDOI
Many Attractors, Long Chaotic Transients, and Failure in Small-World Networks of Excitable Neurons
TL;DR: In this paper, the authors study the dynamical states that emerge in a small-world network of recurrently coupled excitable neurons through both numerical and analytical methods, and they show that persistent activity arises for a small fraction of short-cuts, while a transition to failure occurs at a critical value of the short-cut density.