C
Carlo Nardone
Researcher at ENEA
Publications - 15
Citations - 1636
Carlo Nardone is an academic researcher from ENEA. The author has contributed to research in topics: Tokamak & Seismic migration. The author has an hindex of 5, co-authored 15 publications receiving 1530 citations. Previous affiliations of Carlo Nardone include Center for Advanced Studies Research and Development in Sardinia & Congressional Research Service.
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Journal ArticleDOI
Modelling Merging and Fragmentation in Multiphase Flows with SURFER
TL;DR: In this article, the Navier-Stokes equation is solved using staggered finite differences on a MAC grid and a split-explicit time differencing scheme, while incompressibility is enforced using an iterative multigrid Poisson solver.
Journal ArticleDOI
Being in Someone Else’s Shoes: the Role of Gender in Nascent Entrepreneurship
Maria Minniti,Carlo Nardone +1 more
TL;DR: In this article, a special form of bootstrapping is used to equalize individuals' conditions and, as a result, analyze the choices of men and women put in identical economic environments and socioeconomic circumstances.
Journal ArticleDOI
Multichannel fluctuation data analysis by the singular value decomposition method. Application to MHD modes in JET
TL;DR: In this article, a signal processing method based on the singular value decomposition (SVD) of a rectangular matrix has been proposed to disentangle the poloidal structure without a priori knowledge.
Journal ArticleDOI
Phase shift plus interpolation: a scheme for high-performance echo-reconstructive imaging
TL;DR: Echo-reconstruction techniques for nonintrusive imaging have wide application, from subsurface and underwater imaging to medical and industrial diagnostics as discussed by the authors, where a collection of short acoustic or electromagnetic impulses, emitted at the surface, illuminate a certain volume and are backscattered by inhomogeneities of the medium.
Proceedings ArticleDOI
3D spectral reverse time migration with no‐wraparound absorbing conditions
TL;DR: In this paper, the spectral methods for calculating the Laplacian were compared with the grid-based methods of reverse time migration (RTM), and it was shown that spectral methods impose the least stringent demands on discretization stepsize; thus with spectral methods, the grid re-nements often required by other methods can be avoided.