Fluids and Complexity 2 - Sciencesconf.org

Foamed emulsion ageing: how a viscoelastic emulsion hinders foam coarsening

Anniina Salonen

Microfluidics and Biophysics, Active Matter

› The ciliated structure as a particle detector - Elie Wandersman, Laboratoire Jean Perrin 09:40-09:55 (15min)

› Swimming of Bubbles through Buckling Mechanism - Georges Chabouh, Laboratoire Interdisciplinaire de Physique [Saint Martin d'Hères] 09:55-10:10 (15min)

› Transition from longitudinal to transverse ciliary metachronal waves in reconstituted human bronchial epithelium - Olivier Mesdjian, Centre Interdisciplinaire de Nanoscience de Marseille 10:10-10:25 (15min)

Flow and stability of viscoelastic liquid curtains

Sandra Lerouge

Coffee break

Non-Newtonian Fluid Mechanics, Granular Matter, Suspensions

› Condensation-induced self-patterning of a thin clayey layer. - Frédéric Doumenc, Fluides, automatique, systèmes thermiques 11:35-11:50 (15min)

› Local origin of the visco-elasticity of liquid foam - Adrien Bussonnière, Matière et Systèmes Complexes 11:50-12:05 (15min)

› Foam coarsening under steady shear: interplay between bubble rearrangement and film thinning dynamics - Corentin Tregouet, MIE Team, Chimie Biologie Et Innovation 12:05-12:20 (15min)

› Characterization of bubbles deformations and interactions inside a liquid foam flowing through a constriction - Florian Schott, Department of Mechanical Engineering, LTH, Lund University, Lund 12:20-12:35 (15min)

› Measuring Young's Modulus of soft gels in a planar microfluidic device via simple clogging - Charles Paul Moore, Laboratoire d\'hydrodynamique 12:35-12:50 (15min)

› AN IMPLEMENTATION OF THE FICTITIOUS DOMAIN METHOD IN OPENFOAM FOR THE SIMULATION OF NON-BROWNIAN DENSE SUSPENSIONS - Michel Orsi, Université Côte d'Azur 12:50-13:05 (15min)

› The dusty Kolmogorov flow - Guido Boffetta, Università degli studi di Torino, Istituto Nazionale di Fisica Nucleare, Sezione di Torino 13:05-13:20 (15min)

Lunch and Poster installation

Bubble nucleation in flowing liquids

Carlo Massimo Casciola

Poster session 2 and Coffee break

Machine Learning for Fluid Mechanics

› Swimming gait optimized by Machine Learning - Li FU, Université Côte d'Azur, CNRS, Institut de Physique de Nice 17:05-17:20 (15min)

› Learning pursuing and evasion strategies at low Reynolds number - Massimo Cencini, Istituto Sistemi Complessi, CNR [ROME] 17:20-17:35 (15min)

Coupling Machine Learning and Fluid Mechanics: prediction and optimisation

Elie Hachem

Prices and Goodbye

Program