Gravitational waves from neutron star mergers and their relation to the nuclear equation of state

L Baiotti - Progress in Particle and Nuclear Physics, 2019 - Elsevier
In this article, I introduce ideas and techniques to extract information about the equation of
state of matter at very high densities from gravitational waves emitted before, during and …

Impact of geometric, operational, and model uncertainties on the non-ideal flow through a supersonic ORC turbine cascade

N Razaaly, G Persico, PM Congedo - Energy, 2019 - Elsevier
Typical energy sources for Organic Rankine Cycle (ORC) power systems feature variable
heat load and turbine inlet/outlet thermodynamic conditions. The use of organic compounds …

Accuracy assessment of the non-ideal computational fluid dynamics model for siloxane MDM from the open-source SU2 suite

G Gori, M Zocca, G Cammi, A Spinelli… - European Journal of …, 2020 - Elsevier
The first-ever accuracy assessment of a computational model for Non-Ideal Compressible-
Fluid Dynamics (NICFD) flows is presented. The assessment relies on a comparison …

Gravitational-wave imprints of nonconvex dynamics in binary neutron star mergers

G Rivieccio, D Guerra, M Ruiz, JA Font - Physical Review D, 2024 - APS
Explaining gravitational-wave (GW) observations of binary neutron star (BNS) mergers
requires an understanding of matter beyond nuclear saturation density. Our current …

High-order statistics in global sensitivity analysis: Decomposition and model reduction

G Geraci, PM Congedo, R Abgrall… - Computer Methods in …, 2016 - Elsevier
Abstract ANalysis Of VAriance (ANOVA) is a common technique for computing a ranking of
the input parameters in terms of their contribution to the output variance. Nevertheless, the …

The iPRSV equation of state

TP Van der Stelt, NR Nannan, P Colonna - Fluid Phase Equilibria, 2012 - Elsevier
The Peng–Robinson cubic equation of state with the Stryjek–Vera modification (PRSV) is
widely adopted in scientific studies and engineering. However, it is affected by a …

Simplex-stochastic collocation method with improved scalability

WN Edeling, RP Dwight, P Cinnella - Journal of Computational Physics, 2016 - Elsevier
Abstract The Simplex-Stochastic Collocation (SSC) method is a robust tool used to
propagate uncertain input distributions through a computer code. However, it becomes …

Bayesian quantification of thermodynamic uncertainties in dense gas flows

X Merle, P Cinnella - Reliability Engineering & System Safety, 2015 - Elsevier
A Bayesian inference methodology is developed for calibrating complex equations of state
used in numerical fluid flow solvers. Precisely, the input parameters of three equations of …

Uncertainty analysis applied to thermodynamic models and process design—2. Binary mixtures

S Hajipour, MA Satyro, MW Foley - Fluid Phase Equilibria, 2014 - Elsevier
A simple procedure is proposed to evaluate the uncertainty on binary interaction parameters
propagated from the uncertainties present in the physical properties and equation …

Orbital cluster-based network modelling

A Colanera, N Deng, M Chiatto, L de Luca… - arXiv preprint arXiv …, 2024 - arxiv.org
We propose a novel reduced-order methodology to describe complex multi-frequency fluid
dynamics from time-resolved snapshot data. Starting point is the Cluster-based Network …