Jonathan Amodeo
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View article: Influence of point defect concentration on the generalized stacking‐fault energy in uranium dioxide
Influence of point defect concentration on the generalized stacking‐fault energy in uranium dioxide Open
Stacking‐fault energy is a fundamental material property that significantly affects the shearability of crystalline materials by influencing the behavior of dislocations. Here, the impact of point defects on the stacking‐fault energy in nu…
View article: Modélisation multi-échelle de la déformation plastique dans les métaux et les oxydes
Modélisation multi-échelle de la déformation plastique dans les métaux et les oxydes Open
This manuscript for my habilitation to supervise research is divided into three sections. The first focuses on my curriculum vitae and my scientific career, the second on my research activity and, finally, the last part emphasizes research…
View article: Nanocompression of 20 nm Silver Nanoparticles: In situ Aberration‐Corrected TEM and Atomistic Simulations
Nanocompression of 20 nm Silver Nanoparticles: In situ Aberration‐Corrected TEM and Atomistic Simulations Open
Single‐crystalline nanoparticles play an increasingly important role in a wide variety of fields including pharmaceuticals, advanced materials, catalysts for fuel cells, energy materials, as well as environmental detection and monitoring. …
View article: Atomistic simulation of α‐Al <sub>2</sub> O <sub>3</sub> nanoparticle plastic anisotropy under compression
Atomistic simulation of α‐Al <sub>2</sub> O <sub>3</sub> nanoparticle plastic anisotropy under compression Open
Alumina (α‐Al 2 O 3 ) is one of the major ceramic oxides commonly used for its advanced mechanical properties. Since recently, nanoscale α‐Al 2 O 3 requires more in‐depth characterization related to ceramic powder compaction and sintering …
View article: El-Numodis: a new tool to model dislocation and surface interactions
El-Numodis: a new tool to model dislocation and surface interactions Open
While surfaces are known to have a limited impact on the mechanical properties of crystalline materials at the macroscopic scale, they play a key role at small-scale behaving alternatively as sources or sinks of various plastic deformation…
View article: Molecular dynamics simulation of structural evolution in crystalline and amorphous CuZr alloys upon ultrafast laser irradiation
Molecular dynamics simulation of structural evolution in crystalline and amorphous CuZr alloys upon ultrafast laser irradiation Open
International audience
View article: Cs diffusion mechanisms in UO2 investigated by SIMS, TEM, and atomistic simulations
Cs diffusion mechanisms in UO2 investigated by SIMS, TEM, and atomistic simulations Open
Experimental investigations and atomistic simulations are combined to study the cesium diffusion processes at high temperature in UO2. After 133Cs implantation in UO2 samples, diffusion coefficients are determined using the depth profile e…
View article: When More Is Less: Plastic Weakening of Single Crystalline Ag Nanoparticles by the Polycrystalline Au Shell
When More Is Less: Plastic Weakening of Single Crystalline Ag Nanoparticles by the Polycrystalline Au Shell Open
It is well-known that in the case of bulk polycrystalline metals, a reduction in the grain size leads to material hardening, since the grain boundaries represent efficient barriers for slip transfer between the adjacent crystalline grains.…
View article: Modeling the mechanical properties of nanoparticles: a review
Modeling the mechanical properties of nanoparticles: a review Open
Nanoparticles are commonly used in various fields of applications such as electronics, catalysis or engineering where they can be subjected to a certain amount of stress leading to structural instabilities or irreversible damages. In contr…
View article: From dislocation nucleation to dislocation multiplication in ceramic nanoparticle
From dislocation nucleation to dislocation multiplication in ceramic nanoparticle Open
Magnesium oxide nanocubes are compressed along the [001] direction in situ in the transmission electron microscope. Incipient plasticity in the smaller samples is characterized by the nucleation of few 1/2{110}
\n dislocations while a larg…
View article: Measuring transferability issues in machine-learning force fields: the example of gold–iron interactions with linearized potentials
Measuring transferability issues in machine-learning force fields: the example of gold–iron interactions with linearized potentials Open
Machine-learning force fields have been increasingly employed in order to extend the possibility of current first-principles calculations. However, the transferability of the obtained potential cannot always be guaranteed in situations tha…
View article: Out-of-equilibrium Polymorph Selection in Nanoparticle Freezing
Out-of-equilibrium Polymorph Selection in Nanoparticle Freezing Open
The ability to design synthesis processes that are out of equilibrium has opened the possibility of creating nanomaterials with remarkable physico-chemical properties, choosing from a much richer palette of possible atomic architectures co…
View article: Out-of-Equilibrium Polymorph Selection in Nanoparticle Freezing
Out-of-Equilibrium Polymorph Selection in Nanoparticle Freezing Open
The ability to design synthesis processes that are out of equilibrium has opened the possibility of creating nanomaterials with remarkable physicochemical properties, choosing from a much richer palette of possible atomic architectures com…
View article: Complexity competes with transferability in machine-learning force fields: The example of Gold-Iron interactions
Complexity competes with transferability in machine-learning force fields: The example of Gold-Iron interactions Open
Machine-learning force fields have been increasingly employed in order to extend the possibility of current first-principle calculations. While the main approach consists in using a force field with the most universal and most complete ana…
View article: Measuring transferability issues in machine-learning force fields: The\n example of Gold-Iron interactions with linearized potentials
Measuring transferability issues in machine-learning force fields: The\n example of Gold-Iron interactions with linearized potentials Open
Machine-learning force fields have been increasingly employed in order to\nextend the possibility of current first-principles calculations. However, the\ntransferability of the obtained potential can not always be guaranteed in\nsituations…
View article: Influence of an amorphous surface layer on the mechanical properties of metallic nanoparticles under compression
Influence of an amorphous surface layer on the mechanical properties of metallic nanoparticles under compression Open
International audience