activity
20162023
most citedUniform Penalty inversion of two-dimensional NMR Relaxation data

53 citations · 65 across the 5 of their papers we have counts for

collaborators

5 papers

math.NA2023★ 2 cited

Uniform multi-penalty regularization for linear ill-posed inverse problems

Villiam Bortolotti, Germana Landi, Fabiana Zama

This study examines, in the framework of variational regularization methods, a multi-penalty regularization approach which builds upon the Uniform PENalty (UPEN) method, previously…

math.NA2022★ 7 cited

An automatic L1-based regularization method for the analysis of FFC dispersion profiles with quadrupolar peaks

Germana Landi, Giovanni V. Spinelli, Fabiana Zama +4

Fast Field-Cycling Nuclear Magnetic Resonance relaxometry is a non-destructive technique to investigate molecular dynamics and structure of systems having a wide range of applicati…

cs.MS2022

MUPen2DTool: a Matlab Tool for 2D Nuclear Magnetic Resonance relaxation data inversion

Villiam Bortolotti, Leonardo Brizi, Germana Landi +2

Accurate and efficient analysis of materials properties from Nuclear Magnetic Resonance (NMR) relaxation data requires robust and efficient inversion procedures. Despite the great…

math.NA2020★ 3 cited

2DNMR data inversion using locally adapted multi-penalty regularization

Villiam Bortolotti, Germana Landi, Fabiana Zama

A crucial issue in two-dimensional Nuclear Magnetic Resonance (NMR) is the speed and accuracy of the data inversion. This paper proposes a multi-penalty method with locally adapted…

math.NA2016★ 53 cited

Uniform Penalty inversion of two-dimensional NMR Relaxation data

V. Bortolotti, R. J. S. Brown, P. Fantazzini +2

The inversion of two-dimensional NMR data is an ill-posed problem related to the numerical computation of the inverse Laplace transform. In this paper we present the 2DUPEN algorit…