Marco Zanetti

Characterizing the initial state and dynamical evolution in XeXe and PbPb collisions using multiparticle cumulants

Aram Hayrapetyan, В. Макаренко, A. Tumasyan, Wolfgang Adam et autres

For the first time, correlations among mixed-order moments of two or three flow harmonics —( v n k , v m l ) and ( v n k , v m l , v p q ), with k, l , and …

Update on TWOCRYST: the feasibility of double-crystal fixed-target experiments at the LHC

Pascal Hermes, C. Antuono, G. Arduini, L. Bandiera et autres

A setup of two bent crystals and a fixed target in the CERN Large Hadron Collider (LHC) could enable the study of the magnetic (MDM) and electric (EDM) dipole moments of short-lived charm baryons with unprecedented accuracy. At the core of the …

ch, it, es (code pays fourni par la source)

Tree Tensor Network implemented on FPGA as ultra-low latency binary classifiers.

Lorenzo Borella, Alberto Coppi, J. Pazzini, Andrea Stanco et autres

Tensor Networks (TNs) are a computational framework traditionally used to model quantum many-body systems. Recent research has demonstrated that TNs can also be effectively applied to Machine Learning (ML) tasks, producing results comparable to conventional supervised learning methods. In this work, we …

it (code pays fourni par la source)

Ultra-low latency quantum-inspired machine learning predictors implemented on FPGA

Lorenzo Borella, Alberto Coppi, J. Pazzini, Andrea Stanco et autres

Tensor Networks (TNs) are a computational paradigm used for representing quantum many-body systems. Recent works have shown how TNs can also be applied to perform Machine Learning (ML) tasks, yielding comparable results to standard supervised learning techniques. In this work, we study …

Optimization models for bike sharing systems

Marco Zanetti

Using Big Data Technologies for HEP Analysis

M. Cremonesi, Cláudio Bellini, Bianny Bian, Luca Canali et autres

The HEP community is approaching an era were the excellent performances of the particle accelerators in delivering collision at high rate will force the experiments to record a large amount of information. The growing size of the datasets could potentially become a …

us, ch, it (code pays fourni par la source)

Studio della relazione struttura-proprietà di PEEK e CFR PEEK per applicazioni biomedicali

Pierangiola Bracco, S. Fusi, Marco Zanetti

Py-GC/MS analysis of paints for domestic use

Maria Paola Luda Di Cortemiglia, Marco Zanetti, Valentina Brunella, Pierangiola Bracco et autres

Produzione di micro e nanoparticelle polimeriche utilizzando la tecnica electrospray

D. Fantini, Marco Zanetti, Pierangiola Bracco, Valentina Brunella et autres

Sintesi e caratterizzazione di nanocompositi polimerici a natura ibrida di polietilene e silice

Marco Zanetti, Silvia Barus, Pierangiola Bracco, Valentina Brunella et autres

Degradazione Termica di Poliacrilonitrile

Marco Zanetti, Pierangiola Bracco, Valentina Brunella, Maria Paola Luda Di Cortemiglia et autres

Automotive TPO Recycling and Characterization

Maria Paola Luda Di Cortemiglia, Valentina Brunella, Marco Zanetti, Pierangiola Bracco