output
20142025
most cited5G 3GPP-like Channel Models for Outdoor Urban Microcellular and Macrocellular Environments

372 citations

21 papers

physics.ins-det2025★ 2 cited

The detection of marine microseismic activity with the CUORE tonne-scale cryogenic experiment

D. Q. Adams, C. Alduino, K. Alfonso +126

Vibrations from experimental setups and the environment are a persistent source of noise for low-temperature calorimeters searching for rare events, including neutrinoless double b…

physics.ao-ph2025★ 5 cited

Improving Oil Slick Trajectory Simulations with Bayesian Optimization

Gabriele Accarino, Marco M. De Carlo, Igor Atake +8

Accurate simulations of oil spill trajectories are essential for supporting practitioners' response and mitigating environmental and socioeconomic impacts. Numerical models, such a…

physics.ao-ph2025★ 2 cited

A Statistical Learning Approach to Mediterranean Cyclones

L. Roveri, L. Fery, L. Cavicchia +1

Mediterranean cyclones are extreme meteorological events of which much less is known compared to their tropical, oceanic counterparts. The raising interest in such phenomena is due…

physics.flu-dyn2024★ 13 cited

Cross-flow oscillations of a circular cylinder with mechanically coupled rotation

Alessandro Nitti, Giovanni De Cillis, Marco . D. de Tullio

Flow-Induced Vibrations (FIV) of an elastically mounted circular cylinder are investigated by means of two-dimensional simulations. A mechanical coupling between cross-flow transla…

physics.soc-ph2024★ 27 cited

Equity Implications of Net-Zero Emissions: A Multi-Model Analysis of Energy Expenditures Across Income Classes Under Economy-Wide Deep Decarbonization Policies

John Bistlinea, Chikara Onda, Morgan Browning +13

With companies, states, and countries targeting net-zero emissions around midcentury, there are questions about how these targets alter household welfare and finances, including di…

physics.ins-det2024★ 5 cited

The environmental low-frequency background for macro-calorimeters at the millikelvin scale

L. Aragão, A. Armigliato, R. Brancaccio +14

Many of the most sensitive physics experiments searching for rare events, like neutrinoless double beta () decay and dark matter interactions, rely on cryogenic macro-calorim…

physics.ao-ph2023★ 12 cited

Transferring climate change physical knowledge

Francesco Immorlano, Veronika Eyring, Thomas le Monnier de Gouville +5

Precise and reliable climate projections are required for climate adaptation and mitigation, but Earth system models still exhibit great uncertainties. Several approaches have been…

physics.ao-ph2023★ 48 cited

A global unstructured, coupled, high-resolution hindcast of waves and storm surge

Lorenzo Mentaschi, Michalis Vousdoukas, Guillermo Garcia-Sanchez +7

Accurate information on waves and storm surges is essential to understand coastal hazards that are expected to increase in view of global warming and rising sea levels. Despite the…

physics.ao-ph2023★ 18 cited

An Ensemble Machine Learning Approach for Tropical Cyclone Detection Using ERA5 Reanalysis Data

Gabriele Accarino, Davide Donno, Francesco Immorlano +2

Tropical Cyclones (TCs) are counted among the most destructive phenomena that can be found in nature. Every year, globally an average of 90 TCs occur over tropical waters, and glob…

cs.DC2022★ 58 cited

Enabling Dynamic and Intelligent Workflows for HPC, Data Analytics, and AI Convergence

Jorge Ejarque, Rosa M. Badia, Loïc Albertin +34

The evolution of High-Performance Computing (HPC) platforms enables the design and execution of progressively larger and more complex workflow applications in these systems. The co…

cs.LG2022★ 2 cited

A data filling methodology for time series based on CNN and (Bi)LSTM neural networks

Kostas Tzoumpas, Aaron Estrada, Pietro Miraglio +1

In the process of collecting data from sensors, several circumstances can affect their continuity and validity, resulting in alterations of the data or loss of information. Althoug…

stat.AP2020★ 11 cited

Ensemble Kalman Filter for non-conservative moving mesh solvers with a joint physics and mesh location update

Christian Sampson, Alberto Carrassi, Ali Aydoğdu +1

Numerical solvers using adaptive meshes can focus computational power on important regions of a model domain capturing important or unresolved physics. The adaptation can be inform…

astro-ph.GA2020★ 176 cited

An excess of small-scale gravitational lenses observed in galaxy clusters

Massimo Meneghetti, Guido Davoli, Pietro Bergamini +11

Cold dark matter (CDM) constitutes most of the matter in the Universe. The interplay between dark and luminous matter in dense cosmic environments like galaxy clusters is studied t…

physics.flu-dyn2019★ 5 cited

Statistical Measures and Selective Decay Principle for Generalized Euler Dynamics: Formulation and Application to the Formation of Strong Fronts

Giovanni Conti, Gualtiero Badin

In this work we investigate the statistical mechanics of a family of two dimensional (2D) fluid flows, described by the generalized Euler equations, or -models. These models des…

physics.ao-ph2019★ 29 cited

Multivariate statistical modelling of future marine storms

Jue Lin-Ye, Manuel García-León, Vicente Gràcia +3

Extreme events, such as wave-storms, need to be characterized for coastal infrastructure design purposes. Such description should contain information on both the univariate behavio…

cs.DC2017★ 75 cited

INDIGO-DataCloud:A data and computing platform to facilitate seamless access to e-infrastructures

DataCloud Collaboration, Davide Salomoni, Isabel Campos +61

This paper describes the achievements of the H2020 project INDIGO-DataCloud. The project has provided e-infrastructures with tools, applications and cloud framework enhancements to…

cs.DS2016

Fast and Accurate Mining of Correlated Heavy Hitters

Italo Epicoco, Massimo Cafaro, Marco Pulimeno

The problem of mining Correlated Heavy Hitters (CHH) from a two-dimensional data stream has been introduced recently, and a deterministic algorithm based on the use of the Misra--G…

cs.IT2016★ 372 cited

5G 3GPP-like Channel Models for Outdoor Urban Microcellular and Macrocellular Environments

Katsuyuki Haneda, Lei Tian, Yi Zheng +26

For the development of new 5G systems to operate in bands up to 100 GHz, there is a need for accurate radio propagation models at these bands that currently are not addressed by ex…

nucl-th2014★ 90 cited

Chiral three-nucleon forces and the evolution of correlations along the oxygen isotopic chain

A. Cipollone, C. Barbieri, P. Navrátil

The impact of three-nucleon forces (3NFs) along the oxygen chain is investigated for the spectral distribution for attachment and removal of a nucleon, spectroscopic factors and ma…

math.NA2014★ 3 cited

An error estimate of Gaussian Recursive Filter in 3Dvar problem

S. Cuomo, R. Farina, A. Galletti +1

Computational kernel of the three-dimensional variational data assimilation (3D-Var) problem is a linear system, generally solved by means of an iterative method. The most costly p…

math.NA2014★ 33 cited

A Revised Scheme to Compute Horizontal Covariances in an Oceanographic 3D-VAR Assimilation System

R. Farina, S. Dobricic, A. Storto +2

We propose an improvement of an oceanographic three dimensional variational assimilation scheme (3D-VAR), named OceanVar, by introducing a recursive filter (RF) with the third orde…