Acoustic wave propagation in granular media
Titolo Tesi:
Acoustic wave propagation in granular media
Thesis Supervisors:
Brief Description:
Granular materials are frequently utilized to mitigate mechanical vibrations in the development of mechanical devices and machines. Despite their widespread applicability, a thorough comprehension of the exact roles played by particle arrangements and force chains in this process still eludes us. The objective of the thesis is to investigate the velocity of acoustic waves in granular assemblies. The research will be conducted through molecular dynamic simulations, supplemented by analytical calculations based on the approximations of effective medium theory.
Preparatory Courses:
Statistical Mechanics, Modeling of Complex Systems
Acoustic and inertial sensing with optical fiber interferometers
Titolo Tesi:
Acoustic and inertial sensing with optical fiber interferometers
Thesis Supervisors:
Dr. Gianluca Gagliardi, Dr. Saverio Avino, Dr. Pietro Malara, Consiglio Nazionale delle Ricerche, Istituto Nazionale di Ottica (CNR-INO), Pozzuoli (IT)
Brief Description:
Novel optronic systems aimed at local and distributed sensing of strain, vibrations, deformations, accelerations and rotations can be developed harnessing the intrinsic properties of optical fibers, being miniaturized, lightweight, cheap, insensitive to electromagnetic interference and ideal for integration in structures and materials. Also, guided propagation and negligible losses of optical fibers make them ideal platforms to realize such optronic devices. The research in this direction will be conducted through different experimental settings: 1) optical fiber architectures comprising fiber-optic resonators and exotic grating structures also combined with plasmonic nanostructures; 2) fiber-optic closed-ring interferometers built within highly thermally and mechanically insulated systems. Direct applications include chemical analysis for environmental and biological monitoring and acoustic sensing, geophysical studies, seismic monitoring and navigation, while sensing the smallest modifications of the fiber guiding properties can be also used to indirectly measure the intensity of an electric field, the irradiance of ionizing radiation or rheological properties of fluids.
Preparatory Courses:
Introduction to Optical Sensing Techniques, Laser Spectroscopy
Optical whispering gallery mode microresonators
Titolo Tesi:
Optical whispering gallery mode microresonators
Thesis Supervisors:
Dr. Gianluca Gagliardi, Dr. Antonio Giorgini, Dr. Davide D’Ambrosio, Consiglio Nazionale delle Ricerche, Istituto Nazionale di Ottica (CNR-INO), Pozzuoli (IT)
Brief Description:
Preparatory Courses:
Introduction to Optical Sensing Techniques, Laser Spectroscopy
Vibrational and mass spectroscopies for investigating human cell interactions with physico-chemical agents.
Titolo Tesi:
Vibrational and mass spectroscopies for investigating human cell interactions with physico-chemical agents.
Thesis Supervisors:
: Maria Lepore: Marianna Bianca Emanuela Portaccio: Nadia Diano
Brief Description:
The joint use of vibrational and mass spectroscopies allows the investigation of the interaction processes between human cells and different external agents, as ionizing and non-ionizing radiation, environmental pollutants, and nutraceutical compounds. The results of these studies can be usefully applied in the developments of new medical diagnostic and environmental monitoring techniques.
Preparatory Courses:
Applied Biophotonics, Photonics and Nanotechnologies
Correlations of active tracers in lattice gas models
Titolo Tesi:
Correlations of active tracers in lattice gas models
Thesis Supervisors:
: Alessandro Sarracino: Eugenio Lippiello
Brief Description:
Active particles are characterized by internal mechanisms of energy consumption that allow for persistent motion. Typical examples can be found in the biological world (from bacteria at small scales to birds and fishes) or in man-made small objects (micro and nano-devices). They represent non-equilibrium systems due to the continuous exchange of energy and heat with the surrounding environment and many interesting phenomena have been observed when a large number of interacting active particles is considered. Among the several models proposed to describe such systems, lattice gases, where particles can jump on the sites of a discrete lattice with specific interaction rules, have been recently studied both numerically and analytically. The thesis project aims at exploring the interesting open question related to the study of the behavior of correlations between few active tracers immersed in a bath of passive particles.
Preparatory Courses:
Statistical Mechanics, Modeling of Complex Systems
Fluctuation-Dissipation theorem applied to neural models
Titolo Tesi:
Fluctuation-Dissipation theorem applied to neural models
Thesis Supervisors:
: Lucilla De Arcangelis: Alessandro Sarracino
Brief Description:
The brain represents one of the most fascinating systems where several mechanisms at different scales are deeply intertwined, resulting in a complex behavior. One of the main open issues in the understanding of brain functioning is the relation between spontaneous and evoked activity, namely the response of the system to external stimuli. This question can be addressed theoretically within the general framework of statistical physics, by means of the fluctuation-dissipation relations, connecting the spontaneous fluctuations of a system with the response function to external perturbations. The thesis project aims at exploring the possibility to apply these theoretical tools to specific stochastic neural models and to experimental data for brain activity.
Preparatory Courses:
Statistical Mechanics, Modeling of Complex Systems
Scaling of avalanche shape and activity power spectrum in neuronal networks
Titolo Tesi:
Scaling of avalanche shape and activity power spectrum in neuronal networks
Thesis Supervisors:
: Lucilla De Arcangelis: Alessandro Sarracino
Brief Description:
Many systems in nature exhibit avalanche dynamics with scale-free features. A general scaling theory has been proposed for critical avalanche profiles in crackling noise, predicting the collapse onto a universal avalanche shape, as well as the scaling behavior of the activity power spectrum as Brown noise. Recently, much attention has been given to the profile of neuronal avalanches, measured in neuronal systems in vitro and in vivo. Although a universal profile was evidenced, confirming the validity of the general scaling theory, the parallel study of the power spectrum scaling under the same conditions was not performed. The puzzling observation is that in most healthy neuronal systems the power spectrum exhibits a behavior close to 1/ f, rather than Brown, noise. Numerical results on the scaling behavior of the avalanche shape and the power spectrum for a model of integrate and fire neurons confirm that the average avalanche size and the avalanche profile fulfill the general avalanche scaling theory. However, the power spectrum consistently exhibits Brown noise behavior, for both fully excitatory networks and systems with 30% inhibitory neurons. Conversely, a behavior closer to 1/ f noise is observed in systems slightly off criticality. Results suggest that the power spectrum is a good indicator to determine how close neuronal activity is to criticality. This project aims to verify such prediction in different brain datasets and in healthy and pathological conditions.
Preparatory Courses:
Statistical Mechanics, Modeling of Complex Systems
Topological optimization of sensor networks for environmental risk assessment
Titolo Tesi:
Topological optimization of sensor networks for environmental risk assessment
Thesis Supervisors:
: Eugenio Lippiello: Alessandro Sarracino: Lucilla De Arcangelis
Brief Description:
The thesis project will focus on the study of wireless sensor networks (WSNs) used to monitor various environmental aspects, including climate, air pollution, water quality, biodiversity, and seismic risk. Specifically, activity will concentrate on identifying the most efficient communication protocol between pairs of sensors to improve the efficiency and robustness of the network. This research line will employ mathematical tools from percolation theory integrated with specific aspects of WSNs, requiring interdisciplinary training including non-equilibrium statistical mechanics and communication engineering.
Preparatory Courses:
Statistical Mechanics, Modeling of Complex Systems, Network Science
Testing the potential impact of foreshock occurrence in the improvement of seismic risk management
Titolo Tesi:
Testing the potential impact of foreshock occurrence in the improvement of seismic risk management
Thesis Supervisors:
: Eugenio Lippiello: Cataldo Godano: Lucilla De Arcangelis
Brief Description:
The thesis project aims to address the question of whether foreshocks can be reliable precursors for large earthquakes. Historical records highlight the significant impact of earthquakes on human history and the ongoing search for reliable warning signs preceding destructive earthquakes. While foreshocks have been considered a promising candidate for earthquake forecasting, their potential usefulness remains uncertain. The project will utilize statistical and deep learning methodologies to identify distinct spatio-temporal patterns associated with foreshock occurrence in seismic catalogs. The objective is to establish empirical laws for foreshocks and incorporate them into epidemic models to minimize discrepancies between synthetic and instrumental catalogs. The study aims to enhance seismic risk reduction capabilities, improve preparedness, and resilience by measuring the actual knowledge gain from foreshock identification. The project also explores the extraction of foreshock patterns from waveform properties recorded at a single seismic station.
Preparatory Courses:
Statistical Mechanics, Modeling of Complex Systems
Non-equilibrium dynamics of interfaces with long-range interactions: from theory towards applications
Titolo Tesi:
Non-equilibrium dynamics of interfaces with long-range interactions: from theory towards applications
Thesis Supervisors:
: Eugenio Lippiello: Alessandro Sarracino: Lucilla De Arcangelis
Brief Description:
Preparatory Courses:
Statistical Mechanics, Modeling of Complex Systems, Network Science
The variational quantum eigensolver algorithm
Titolo Tesi:
The variational quantum eigensolver algorithm
Thesis Supervisors:
: Giovanni De Gregorio
Brief Description:
Preparatory Courses:
Quantum Computing
Encoding a two-body Hamiltonian on a quantum computer
Titolo Tesi:
Encoding a two-body Hamiltonian on a quantum computer
Thesis Supervisors:
: Giovanni De Gregorio
Brief Description:
Preparatory Courses:
Quantum Computing
Machine Learning the nuclear shell model
Titolo Tesi:
Machine Learning the nuclear shell model
Thesis Supervisors:
: LUIGI CORAGGIO: Nunzio Itaco: Giovanni De Gregorio
Brief Description:
Preparatory Courses:
Theoretical Physics, Microscopic Nuclear Structure
Many-Body Nuclear Systems with Low-Energy Effective Field Theory Potential Models
Titolo Tesi:
Many-Body Nuclear Systems with Low-Energy Effective Field Theory Potential Models
Thesis Supervisors:
: LUIGI CORAGGIO: Giovanni De Gregorio: Nunzio Itaco
Brief Description:
Preparatory Courses:
Theoretical Physics - Microscopic Nuclear Structure
Investigation of the 7Be electron capture in different environments
Titolo Tesi:
Investigation of the 7Be electron capture in different environments
Thesis Supervisors:
: Lucio Gialanella: Raffaele Buompane
Brief Description:
Preparatory Courses:
Nuclear and subnuclear physics, Theoretical physics
Measurement of the cross section of 12C(a,g)16O at astrophysical energies of interest
Titolo Tesi:
Measurement of the cross section of 12C(a,g)16O at astrophysical energies of interest
Thesis Supervisors:
: Raffaele Buompane: Lucio Gialanella
Brief Description:
Preparatory Courses: