120 citations · 229 across the 6 of their papers we have counts for
6 papers
Magnetic manipulation of superparamagnetic colloids in droplet-based optical devices
I. Mattich, J. Sendra, H. Galinski +5
Magnetically assembled superparamagnetic colloids have been exploited as fluid mixers, swimmers and delivery systems in several microscale applications. The encapsulation of such c…
Machine Learning for Performance Prediction of Spark Cloud Applications
Alexandre Maros, Fabricio Murai, Ana Paula Couto da Silva +5
Big data applications and analytics are employed in many sectors for a variety of goals: improving customers satisfaction, predicting market behavior or improving processes in publ…
ANDREAS: Artificial intelligence traiNing scheDuler foR accElerAted resource clusterS
Federica Filippini, Danilo Ardagna, Marco Lattuada +7
Artificial Intelligence (AI) and Deep Learning (DL) algorithms are currently applied to a wide range of products and solutions. DL training jobs are highly resource demanding and t…
Population-balance description of shear-induced clustering, gelation and suspension viscosity in sheared DLVO colloids
M. Lattuada, A. Zaccone, H. Wu +1
Application of shear flow to charge-stabilized aqueous colloidal suspensions is ubiquitous in industrial applications and as a means to achieve controlled field-induced assembly of…
Electrostatics controls the formation of amyloid-like superstructures in protein aggregation
Vito Foderà, Alessio Zaccone, Marco Lattuada +1
The possibility for proteins to aggregate in different superstructures, i.e. large-scale polymorphism, has been widely observed, but an understanding of the physico-chemical mechan…
Breakup of dense colloidal aggregates under hydrodynamic stresses
A. Zaccone, M. Soos, M. Lattuada +2
Flow-induced aggregation of colloidal particles leads to aggregates with fairly high fractal dimension () which are directly responsible for the observed rheological properties of…