Articolo in rivista

Forecasting high resolution electricity demand data with additive models including smooth and jagged components

Short-Term Load Forecasting (STLF) is a fundamental instrument in the efficient operational management and planning of electric utilities. Emerging smart grid technologies pose new challenges and opportunities. Although load forecasting at the aggregate level has been extensively studied,…

Droplet size distribution in homogeneous isotropic turbulence

We study the physics of droplet breakup in a statistically stationary homogeneous and isotropic turbulent flow by means of high resolution numerical investigations based on the multicomponent lattice Boltzmann method. We verified the validity of the criterion proposed by Hinze [AIChE J. 1, 289 (…

Mesoscopic Modelling of local phase transitions and apparent slip phenomena in microflows

NIAPU: Network-Informed Adaptive Positive-Unlabeled learning for disease gene identification

Motivation: Gene-disease associations are fundamental for understanding disease etiology and developing effective interventions and treatments. Identifying genes not yet associated with a disease due to a lack of studies is a challenging task in which prioritization based on prior knowledge is an…

Copper corrosion: A mathematical model for the simulation of chemical processes

[object Object]Metals, extensively used in technology applications as well as in art metal works, have a chemical affinity for oxygen, water, sulphur and are particularly susceptible to electrochemical processes due to the environment. For this reason the monitoring of the effect of environmental…

Nonlinear problems in arterial flows

Unstructured lattice Boltzmann equation with memory

TOM: enhancement and extension of a tool suite for in silico approaches to multigenic hereditary disorders

The study of complex hereditary diseases is a very challenging area of research. The expanding set of in silico approaches offers a flourishing ground for the acceleration of meaningful findings in this area by exploitation of rich and diverse sources of omic data. These approaches are cheap,…

The Generalized Schur Algorithm and Some Applications

The generalized Schur algorithm is a powerful tool allowing to compute classical decompositions of matrices, such as the QR and LU factorizations. When applied to matrices with particular structures, the generalized Schur algorithm computes these factorizations with a complexity of one order of…

On the stability of vertical throughflows for binary mixtures in a porous layer

A system modeling fluid motions in horizontal porous layers, uniformly heated from below and salted from above by one salt is analyzed. The definitively boundedness of solutions (existence of absorbing sets in the phase space) is proved. Necessary and sufficient conditions ensuring the linear…