Matteo Leoni

Prof. Dr. Matteo Leoni

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Research Focus & Metrics

Academic Career Length

20Years (2007-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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13 July 2007 in Journal of Applied Crystallography
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Journal Article
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MLMatteo Leoni
Matteo Leoni
JMJorge Martinez-Garcia
Jorge Martinez-Garcia
Paolo ScardiPaolo Scardi
Paolo Scardi

13 July 2018 in Crystal Growth & Design
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Journal Article
Closed access
Alina R. IzatulinaAlina R. Izatulina
Alina R. Izatulina
Vladislav GurzhiyVladislav Gurzhiy
Vladislav Gurzhiy
MKMaria G. Krzhizhanovskaya
Maria G. Krzhizhanovskaya
MKMariya A. Kuz’mina
Mariya A. Kuz’mina
MLMatteo Leoni
Matteo Leoni
OFOlga V. Frank-Kamenetskaya
Olga V. Frank-Kamenetskaya

18 November 2021 in Nature Reviews Methods Primers
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Journal Article
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JKJames Kaduk
James Kaduk
SBSimon J. L. Billinge
Simon J. L. Billinge
RDRobert E. Dinnebier
Robert E. Dinnebier
NHNathan Henderson
Nathan Henderson
IMIan Madsen
Ian Madsen
Daniel ChateignerDaniel Chateigner
Daniel Chateigner

9 April 2019 in ACS Applied Energy Materials
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Journal Article
Closed access
David Maria TobaldiDavid Maria Tobaldi
David Maria Tobaldi
LLLuc Lajaunie
Luc Lajaunie
MHM. López Haro
M. López Haro
Rute FerreiraRute Ferreira
Rute Ferreira
MLMatteo Leoni
Matteo Leoni
JLJoao A. Labrincha
Joao A. Labrincha

12 December 2011 in Philosophical Magazine
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Journal Article
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Alberto LeonardiAlberto Leonardi
Alberto Leonardi
Paolo ScardiPaolo Scardi
Paolo Scardi
MLMatteo Leoni
Matteo Leoni
A modified Voronoi tessellation (MVT) is proposed for the computer simulation of realistic microstructures. Compared with standard tessellations, the present algorithm provides the desired grain size distribution in a one-step, non-evolutionary procedure. This is obtained by relaxing the constraints of Voronoi tessellation on position and orientation of the grain boundaries, with the only side effect being the formation of a limited amount of eliminable voids. As an example, it is shown how to directly obtain a distribution of grains of given variance and with a shape statistically close to the lognormal one.

1 May 2019 in Journal of Materials Research and Technology
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Journal Article
Open access
HFHeydi Fernández
Heydi Fernández
SOStella Ordoñez
Stella Ordoñez
HPHector Pesenti
Hector Pesenti
RERodrigo Espinoza
Rodrigo Espinoza
MLMatteo Leoni
Matteo Leoni