Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Istituto di Fotonica e NanotecnologieIT287 papers
- University of MilanIT253 papers
- Centre National de la Recherche ScientifiqueFR237 papers
- Istituto Nazionale di Fisica Nucleare, Sezione di MilanoIT232 papers
- Sapienza University of RomeIT155 papers
- Italian Institute of TechnologyIT125 papers
- University of Milano-BicoccaIT115 papers
- National Research CouncilLK111 papers
- University of GenoaIT102 papers
- University of Rome Tor VergataIT102 papers
- University of BolognaIT101 papers
- University of Naples Federico IIIT97 papers
229 papers · 1 filter
U-Net-Like Spiking Neural Networks for Single Image Dehazing
Huibin Li, Haoran Liu, Mingzhe Liu +3
Image dehazing is a critical challenge in computer vision, essential for enhancing image clarity in hazy conditions. Traditional methods often rely on atmospheric scattering models…
Charged particle energization by low-amplitude electrostatic waves at cyclotron harmonics
F. Sattin. L. Martinelli
The system made by a charged particle interacting with a single electrostatic wave which propagates perpendicularly to the magnetic field, at a frequency larger than the cyclotron…
Evaluating covalency using RIXS spectral weights: Silver fluorides vs. cuprates
Ilya Degtev, Daniel Jezierski, Adrián Gómez Pueyo +9
We investigate the electronic structure of AgF2, AgFBF4, AgF and Ag2O using X-ray absorption spectroscopy (XAS) and resonant inelastic X-ray scattering (RIXS) at the Ag L3 edge. XA…
RF sensing with dense IoT network graphs: An EM-informed analysis
Federica Fieramosca, Vittorio Rampa, Michele D'Amico +1
Radio Frequency (RF) sensing is attracting interest in research, standardization, and industry, especially for its potential in Internet of Things (IoT) applications. By leveraging…
Laser-written reconfigurable photonic integrated circuit directly coupled to a single-photon avalanche diode array
Giulio Gualandi, Simone Atzeni, Marco Gardina +8
To date, most integrated quantum photonics experiments rely on single-photon detectors operating at cryogenic temperatures coupled to photonic integrated circuits (PICs) through si…
Anisotropic Phonon Dynamics and Directional Transport in Actinide van der Waals Semiconductor USe
Aljoscha Söll, Valentino Jadrisko, Sourav Dey +13
Direction-dependent charge transport and optical responses are characteristic of van der Waals (vdW) materials with strong in-plane anisotropy. While transition-metal trichalcogeni…
Variational phase-field modeling of fracture and fatigue in shape memory alloys: a one-dimensional study
Alma Brambilla, Laura De Lorenzis, Lorenza Petrini
We propose a novel variational phase-field model for fracture and fatigue in pseudoelastic shape memory alloys (SMAs). The model, developed in a one-dimensional setting, builds upo…
On a relaxed Cahn-Hilliard tumour growth model with single-well potential and degenerate mobility
Cecilia Cavaterra, Matteo Fornoni, Maurizio Grasselli +1
We consider a phase-field system modelling solid tumour growth. This system consists of a Cahn-Hilliard equation coupled with a nutrient equation. The former is characterised by a…
Adaptive digital twins for predictive decision-making: Online Bayesian learning of transition dynamics
Eugenio Varetti, Matteo Torzoni, Marco Tezzele +1
This work shows how adaptivity can enhance value realization of digital twins in civil engineering. We focus on adapting the state transition models within digital twins represente…
Magnetic Control of the Non-Hermitian Skin Effect in Two-Dimensional Lattices
Stefano Longhi
The non-Hermitian skin effect (NHSE) -- the anomalous boundary accumulation of an extensive number of bulk modes -- has emerged as a hallmark of non-Hermitian physics, with broad i…
The interstellar flux gap: From dust to kilometer-scale objects
Eloy Peña-Asensio, Darryl Z. Seligman
Context. Three kilometer-sized interstellar objects (ISOs) have been detected transiting the Solar System, and spacecraft have directly measured micrometer-scale interstellar dust…
Effect of submerged vegetation on water surface geometry and air-water momentum transfer
Giulio Foggi Rota, Alessandro Chiarini, Marco Edoardo Rosti
Understanding how submerged vegetation modifies the water surface is crucial for modeling momentum exchange between shallow waters and the atmosphere. In particular, quantifying it…
Time-based Selection of Kaonic Atom X-ray Events with Quasi-Hemispherical CZT Detectors at the DAFNE collider
Francesco Artibani, Leonardo Abbene, Antonino Buttacavoli +37
This work presents the results of a time-based event selection for searching X-ray signals from kaonic atom X-ray transition using a single quasi-hemispherical Cadmium-Zinc-Telluri…
A Graph-based RAG for Energy Efficiency Question Answering
Riccardo Campi, Nicolò Oreste Pinciroli Vago, Mathyas Giudici +3
In this work, we investigate the use of Large Language Models (LLMs) within a graph-based Retrieval Augmented Generation (RAG) architecture for Energy Efficiency (EE) Question Answ…
Collective Magnetic Excitations in a Photo-excited Electron-doped Cuprate Superconductor
Daniel Jost, Jiarui Li, Jordyn Hales +21
Elucidating the microscopic behavior of cuprates under ultrafast photoexcitation offers critical insights into their highly correlated out-of-equilibrium states. Although quasipart…
Benchmarking stabilized and self-stabilized p-virtual element methods with variable coefficients
Paola Pia Foligno, Daniele Boffi, Fabio Credali +1
Standard Virtual Element Methods (VEM) are based on polynomial projections and require a stabilization term to evaluate the contribution of the non-polynomial component of the disc…
Modeling group heterogeneity in spatio-temporal data via physics-informed semiparametric regression
Marco F. De Sanctis, Eleonora Arnone, Francesca Ieva +1
In this work we propose a novel approach for modeling spatio-temporal data characterized by group structures. In particular, we extend classical mixed effect regression models by i…
On entropy production of repeated quantum measurements III. Quantum detailed balance
Tristan Benoist, Noé Cuneo, Vojkan Jakšić +1
In light of the dynamical-systems approach to entropy production in repeated quantum measurements, proposed and illustrated in Commun. Math. Phys. 357, 77-123 (2018) [arXiv:1607.00…
An Agentic Framework for Rapid Deployment of Edge AI Solutions in Industry 5.0
Jorge Martinez-Gil, Mario Pichler, Nefeli Bountouni +3
We present a novel framework for Industry 5.0 that simplifies the deployment of AI models on edge devices in various industrial settings. The design reduces latency and avoids exte…
Graph Network-based Structural Simulator: Graph Neural Networks for Structural Dynamics
Alessandro Lucchetti, Francesco Cadini, Marco Giglio +1
Graph Neural Networks (GNNs) have recently been explored as surrogate models for numerical simulations. While their applications in computational fluid dynamics have been investiga…
Augmenting Neural Networks-Based Model Approximators in Robotic Force-Tracking Tasks
Kevin Saad, Vincenzo Petrone, Enrico Ferrentino +3
As robotics gains popularity, interaction control becomes crucial for ensuring force tracking in manipulator-based tasks. Typically, traditional interaction controllers either requ…
Phase Transitions and Virtual Exceptional Points in Quantum Emitters Coupled to Dissipative Baths
Stefano Longhi
Controlling atom-photon interactions in engineered environments is central to quantum optics and emerging quantum technologies. Non-Hermitian (NH) photonic baths, where dissipation…
Layered Bimetal Nanoporous Platforms for SERS Sensing
Yanqiu Zou, Anastasiia Sapunova, Tommaso Giovannini +15
Nanoporous metals are extensively investigated as platforms for applications in plasmonics. They present high surface areas and strong local electric fields that can be tuned at di…
Optimizing Energy Management of Smart Grid using Reinforcement Learning aided by Surrogate models built using Physics-informed Neural Networks
Julen Cestero, Carmine Delle Femine, Kenji S. Muro +2
Optimizing the energy management within a smart grids scenario presents significant challenges, primarily due to the complexity of real-world systems and the intricate interactions…