Verbale 1/2023

1. Iniziative per il centenario del CNR
2. Giornata IAC del 2023
3. Logo di Istituto
4. Gestione/organizzazione degli spazi comuni nelle varie sedi
5. Situazione progetti
6. Varie ed eventuali.

PASQUA D'AMBRA alla conferenza PDP 2023

d'ambra

Si è svolta dal 1° al 3 marzo la 31ma Euromicro International Conference on Parallel, Distributed, and Network-Based Processing PDP 2023.

L'evento era svolto nell'ambito delle attività di disseminazione del progetto ADMIRE finanziato da Horizon 2020 JTI-EuroHPC.

Tra i keynote speech anche quello della dirigente di ricerca dell'IAC Pasqua D'Ambra. L'intervento è riascoltabile al link in calce.

 

 

Machine learning assisted droplet trajectories extraction in dense emulsions

This work analyzes trajectories obtained by YOLO and DeepSORT algorithms of dense emulsion systems simulated via lattice Boltzmann methods. The results indicate that the individual droplet's moving direction is influenced more by the droplets immediately behind it than the droplets in front of it. The analysis also provide hints on constraints of a dynamical model of droplets for the dense emulsion in narrow channels.

Modeling dual drug delivery from eluting stents: the influence of non-linear binding competition and non-uniform drug loading

Objective There is increasing interest in simultaneous endovascular delivery of more than one drug from a drug-loaded stent into a diseased artery. There may be an opportunity to obtain a therapeutically desirable uptake profile of the two drugs over time by appropriate design of the initial drug distribution in the stent.

Image Scaling by de la Vallée-Poussin Filtered Interpolation

We present a new image scaling method both for downscaling and upscaling, running with any scale factor or desired size. The resized image is achieved by sampling a bivariate polynomial which globally interpolates the data at the new scale. The method's particularities lay in both the sampling model and the interpolation polynomial we use. Rather than classical uniform grids, we consider an unusual sampling system based on Chebyshev zeros of the first kind.

Switching hydrodynamics in liquid crystal devices: A simulation perspective

In liquid crystal devices it is important to understand the physics underlying their switching between different states, which is usually achieved by applying or removing an electric field. Flow is known to be a key determinant of the timescales and pathways of the switching kinetics. Incorporating hydrodynamic effects into theories for liquid crystal devices is therefore important; however this is also highly non-trivial, and typically requires the use of accurate numerical methods.

Approach to iron corrosion via the numerical simulation of a galvanic cell

A mathematical model of the galvanic iron corrosion is, here, presented. The iron(III)-hydroxide formation is considered together with the redox reaction. The PDE system, assembled on the basis of the fundamental holding electro-chemistry laws, is numerically solved by a locally refined FD method. For verification purpose we have assembled an experimental galvanic cell; in the present work, we report two tests cases, with acidic and neutral electrolitical solution, where the computed electric potential compares well with the measured experimental one

DruSiLa: an integrated, in-silico disease similarity-based approach for drug repurposing

The importance of faster drug development has never been more evident than in present time when the whole world is struggling to cope up with the COVID-19 pandemic. At times when timely development of effective drugs and treatment plans could potentially save millions of lives, drug repurposing is one area of medicine that has garnered much of research interest. Apart from experimental drug repurposing studies that happen within wet labs, lot many new quantitative methods have been proposed in the literature.