Melvyn Larranaga
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View article: Shear-coupled migration of grain boundaries: the key missing link in the mechanical behavior of small-grained metals?
Shear-coupled migration of grain boundaries: the key missing link in the mechanical behavior of small-grained metals? Open
Grain size reduction is a very efficient way to block dislocation movements and therefore create very strong metals and alloys. Not only grain boundaries are known obstacles for dislocations, but when reaching nanometer dimensions, crystal…
View article: Role of sessile disconnection dipoles in shear-coupled grain boundary migration
Role of sessile disconnection dipoles in shear-coupled grain boundary migration Open
International audience
View article: Transmission electron microscopy characterization of low temperature boron doped silicon epitaxial films
Transmission electron microscopy characterization of low temperature boron doped silicon epitaxial films Open
Transmission electron microscopy techniques to better understand growth mechanisms and annealing of low temperature silicon epitaxy. HRTEM: thickness measurement, crystal morphology, and defect study. GPA (image processing): strain field a…
View article: 3D nanostructural characterisation of grain boundaries in atom probe data utilising machine learning methods
3D nanostructural characterisation of grain boundaries in atom probe data utilising machine learning methods Open
Boosting is a family of supervised learning algorithm that convert a set of weak learners into a single strong one. It is popular in the field of object tracking, where its main purpose is to extract the position, motion, and trajectory fr…
View article: 3D nanostructural characterisation of grain boundaries in atom probe data utilising machine learning techniques
3D nanostructural characterisation of grain boundaries in atom probe data utilising machine learning techniques Open
This repository contains supplementary data to the simulations in our paper "3D nanostructural characterisation of grain boundaries in atom probe data utilising machine learning techniques" APTTipCarvingExecutable.tar.gz Contains the produ…
View article: 3D nanostructural characterisation of grain boundaries in atom probe data utilising machine learning techniques
3D nanostructural characterisation of grain boundaries in atom probe data utilising machine learning techniques Open
This repository contains supplementary data to the simulations in our paper "3D nanostructural characterisation of grain boundaries in atom probe data utilising machine learning techniques" APTTipCarvingExecutable.tar.gz Contains the produ…