activity
20072023
most citedUnderstanding the nucleation mechanisms of Carbon Nanotubes in catalytic Chemical Vapor Deposition

157 citations · 1k across the 26 of their papers we have counts for

collaborators

27 papers

cond-mat.mtrl-sci2023★ 1 cited

Tuning Elastic Properties of Metallic Nanoparticles by Shape Controlling: From Atomistic to Continuous Models

Matteo Erbi, Hakim Amara, Riccardo Gatti

Understanding and mastering the mechanical properties of metallic nanoparticles is crucial for their use in a wide range of applications. In this context, we use atomic-scale (Mole…

cond-mat.mtrl-sci2023★ 1 cited

Atomic Scale Surface Segregation in Copper-Gold Nanoparticles

Grégoire Breyton, Hakim Amara, Jaysen Nelayah +5

In this work, we combine electron microscopy measurements of the surface compositions in Cu-Au nanoparticles and atomistic simulations to investigate the effect of gold segregation…

cond-mat.mtrl-sci2022

Structural classification of boron nitride twisted bilayers and ab initio investigation of their stacking-dependent electronic structure

Sylvain Latil, Hakim Amara, Lorenzo Sponza

Since the discovery of superconductive twisted bilayer graphene which initiated the field of twistronics, moiré systems have not ceased to exhibit fascinating properties. We demons…

cond-mat.mtrl-sci2022★ 1 cited

Colloidal Synthesis of Nanoparticles: from Bimetallic to High Entropy Alloys

Cora Moreira da Silva, Hakim Amara, Frédéric Fossard +3

At the nanometric scale, the synthesis of a random alloy (i.e. without phase segregation, whatever the composition) by chemical synthesis remains a not easy task, even for simple b…

cond-mat.mtrl-sci2020★ 3 cited

The impact of stress on the electronic structure of phosphorus allotropes stacked on hexagonal boron nitride

Baptiste Bienvenu, Hakim Amara, François Ducastelle +1

We study the mechanical and electronic properties of heterobilayers composed of black phosphorus (BP) on hexagonal boron nitride (hBN) and of blue phosphorus (\Pblue) on hBN by mea…

cond-mat.mes-hall2020★ 58 cited

A deep learning approach for determining the chiral indices of carbon nanotubes from high-resolution transmission electron microscopy images

G. D. Förster, A. Castan, A. Loiseau +5

Chiral indices determine important properties of carbon nanotubes (CNTs). Unfortunately, their determination from high-resolution transmission electron microscopy (HRTEM) images, t…