Mattia Gazzola

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Cytoplasmic transport of organelles, nucleic acids and proteins on microtubules is usually bidirectional with dynein and kinesin motors mediating the delivery of cargoes in the cytoplasm. Here we combine live cell microscopy, single virus tracking and trajectory segmentation to systematically identify the parameters of a stochastic computational model of(More)
SUMMARY The ability of automatically reconstructing physiological shapes, of generating computational meshes, and of calculating flow solutions from medical images is enabling the introduction of computational fluid dynamics (CFD) techniques as an additional tool to aid clinical practice. This article presents a set of procedures for the shape(More)
a r t i c l e i n f o a b s t r a c t Keywords: Wavelets Adapted grids Local time-stepping Remeshing Multicore architectures Multipole methods Bluff-body flows We present MRAG-I2D, 1 an open source software framework, for multiresolution simulations of two-dimensional, incompressible, viscous flows on multicore architectures. The spatiotemporal scales of(More)
This paper introduces a new method based on k-Nearest Neighbors Graphs (KNNG) for bringing into alignment multiple views of the same scene acquired at two different time points. This framework is applied to cardiac motion estimation from tagging MRI sequences. Features acquired in each view are collected in a high dimensional feature space and an efficient(More)
Inspired by the relatively simple morphological blueprint provided by batoid fish such as stingrays and skates, we created a biohybrid system that enables an artificial animal--a tissue-engineered ray--to swim and phototactically follow a light cue. By patterning dissociated rat cardiomyocytes on an elastomeric body enclosing a microfabricated gold(More)
Inertial swimmers use flexural movements to push water and generate thrust. We quantify this dynamical process for a slender body in a fluid by accounting for passive elasticity and hydrodynamics and active muscular force generation and proprioception. Our coupled elastohydrodynamic model takes the form of a nonlinear eigenvalue problem for the swimming(More)
The stochastic optimization algorithm Covariance Matrix Adaptation Evolutionary Strategy (CMA-ES) is coupled with vortex particles methods to perform reverse engineering of flow problems. The principles of CMA-ES and vortex particles simulations are reviewed and their applications are discussed in relation to aircraft wake instability, anguilliform swimming(More)
Keywords: Shape optimization Flow optimization Brinkman penalization Covariance matrix adaptation–evolutionary strategy Remeshed vortex particle method a b s t r a c t We present results from the shape optimization of linked bodies for drag reduction in simulations of incompressible flow at moderate Reynolds numbers. The optimization relies on the(More)