activity
20152020
most citedNonparametric inference in a stereological model with oriented cylinders applied to dual phase steel

4 citations · 7 across the 5 of their papers we have counts for

collaborators

5 papers

stat.AP2020

Isotonic regression for metallic microstructure data: estimation and testing under order restrictions

Martina Vittorietti, Javier Hidalgo, Jilt Sietsma +2

Investigating the main determinants of the mechanical performance of metals is not a simple task. Already known physical inspired qualitative relations between 2D microstructure ch…

cond-mat.mtrl-sci20201 cited

An atomistic perspective of martensite twinning in Iron

Shivraj Karewar, Astrid Elzas, Jilt Sietsma +1

The martensitic transformation is one of the most important phenomena in metals science due to its essential contribution to the strength of steels and most engineering alloys. Yet…

stat.AP2019

General framework for testing Poisson-Voronoi assumption for real microstructures

Martina Vittorietti, Piet J. J. Kok, Jilt Sietsma +2

Modeling microstructures is an interesting problem not just in Materials Science but also in Mathematics and Statistics. The most basic model for steel microstructure is the Poisso…

stat.AP20172 cited

Accurate approximation of the distributions of the 3D Poisson-Voronoi typical cell geometrical features

Martina Vittorietti, Geurt Jongbloed, Piet J. J. Kok +1

Although Poisson-Voronoi diagrams have interesting mathematical properties, there is still much to discover about the geometrical properties of its grains. Through simulations, man…

stat.AP20154 cited

Nonparametric inference in a stereological model with oriented cylinders applied to dual phase steel

K. S. McGarrity, J. Sietsma, G. Jongbloed

Oriented circular cylinders in an opaque medium are used to represent certain microstructural objects in steel. The opaque medium is sliced parallel to the cylinder axes of symmetr…