Organizers
complexitat.cat

Description

Statistical Physics, which was born as an attempt to explain thermodynamic properties of systems from its atomic and molecular components, has evolved into a solid body of knowledge that allows for the understanding of macroscopic collective phenomena. One of the largest successes of Statistical Physics has been the development of paradigms, stylized simplified models that capture the essential ingredients, for a wide variety of phenomena. These paradigms have allowed not only the understanding of the systems by themselves but also that many apparently different behaviors are just different manifestations of the same collective phenomena. The tools developed by the Statistical Physics together with the Theory of Dynamical Systems are of key importance in the understanding of Complex Systems which are characterized by the emergent and collective phenomena of many interacting units. In particular the understanding of small systems, in which fluctuations are typically large, benefits from Statistical Physics body of knowledge. In addition, small systems fuel the development of new techniques and provide the ground to test predictions at a very deep level. While the traditional basic body of knowledge of Statistical Physics is well described in textbooks and typically at an undergraduate or master level, the applications to Complex and Small Systems are well beyond the scope of those textbooks. The Summer School on these topics aims at bridging the gap between the master level and the necessities of PhD students working on these fields.

Organizers
The scientific committee includes: Juan Manuel R. Parrondo, GISC, Universidad Complutense de Madrid. Pere Colet, IFISC (CSIC-UIB). Jesús Gómez-Gardeñes, BIFI, Universidad de Zaragoza. Juan Antonio White, Universidad de Salamanca. Álvaro Corral, CRM, Barcelona Miguel Ángel Rodríguez, IFCA (CSIC-U. Cantabria) Local organizing committee: Miguel Ángel Rodríguez, Juan M. López, and Diego Pazó, Instituto de Física de Cantabria (CSIC-UC).

Speaker
Prof. Penger Tong

Description The study of the dynamics near a moving contact line between a liquid interface and a solid surface is of fundamental interest for our general understanding of a common class of problems involving elastic dynamics in random force fields and also has immense practical applications in tertiary oil recovery, drag reduction, advanced materials and microfluidics. In this talk I will present our recent experimental efforts in developing an atomic force microscope (AFM) based hanging fiber probe for the study of contact line dissipation and wetting dynamics. With this new technique, AFM is used as a force sensor to measure the viscous dissipation of a moving contact line and capillary forces on a long vertical glass fiber of a few microns in diameter with one end glued onto a AFM cantilever and the other end in contact with a liquid-air interface. Applications of this technique to the study of contact line dissipation and wetting dynamics will be discussed.

Speaker
Andrei Korobeinikov

Description THE COLLOQUIM HAS BEEN CANCELLED!!!!!

Description

This summer school will gather for the first time researchers in physics, mathematics, signal processing and neuroscience working on the identification of complex systems. Topics of the school A challenge is to group efforts from the theoretical perspective of statistical signal processing on complex networks, and pratical considerations for analysing brain activity and connectivity. The research developments on these topics are necessarily multi-disciplinary, with expertise from neuroscience, signal processing, statistics. This school will be an unique opportunity to get together scientific experts from graphical models, information theory and neuroimaging in order to propose new paradigms to extract brain functional connectivity using fMRI, EEG, MEG and DTI. The topics are: Graphical models: estimation, model selection Dependency measures, directed information and causality Functional and anatomical brain connectivity Neuroimaging: functional magnetic resonance imaging (fMRI), magnetoencephalography (MEG), electroencephalography (EEG), diffusion tensor imaging (DTI)