A5055228776- High Entropy Alloys Studies
- High-Temperature Coating Behaviors
- Additive Manufacturing Materials and Processes
- Advanced materials and composites
- High Temperature Alloys and Creep
- Advanced Materials Characterization Techniques
- Metallurgical Processes and Thermodynamics
- Graphene research and applications
- 2D Materials and Applications
- nanoparticles nucleation surface interactions
- X-ray Diffraction in Crystallography
- Nuclear materials and radiation effects
- Quantum and electron transport phenomena
- Metal and Thin Film Mechanics
- Topological Materials and Phenomena
- Superconductivity in MgB2 and Alloys
- Catalytic Processes in Materials Science
- Machine Learning in Materials Science
- Magnesium Alloys: Properties and Applications
Technical University of Darmstadt
2017-2022
The Ohio State University
2020
Material (Belgium)
2020
Laboratoire National des Champs Magnétiques Intenses
2018
Centre National de la Recherche Scientifique
2018
Université Grenoble Alpes
2018
Dislocations in single-phase concentrated random alloys, including high-entropy alloys (HEAs), repeatedly encounter pinning during glide, resulting jerky dislocation motion. While solute-dislocation interaction is well understood conventional the origin of individual points a matter debate. In this work, we investigate CoCrFeMnNi HEA. In-situ transmission electron microscopy studies reveal wavy lines and jagged glide motion under external loading, even though no segregation or clustering...
We study order transitions and defect formation in a model high-entropy alloy (CuNiCoFe) under ion irradiation by means of molecular dynamics simulations. Using hybrid Monte-Carlo/molecular scheme is generated which thermodynamically stabilized configurational entropy at elevated temperatures, but partly decomposes lower temperatures copper precipation. Both the multiphase sample are then subjected to simulated particle irradiation. The damage accumulation analyzed compared an elemental Ni...
The crystallographic stacking order in multilayer graphene plays an important role determining its electronic properties. It has been predicted that a rhombohedral (ABC) displays conducting surface state with flat dispersion. In such band, the of electron-electron correlation is enhanced, possibly resulting high ${T}_{\mathrm{c}}$ superconductivity, charge-density wave, or magnetic orders. Clean experimental band-structure measurements ABC-stacked specimens are missing because samples...
Abstract Solid solution hardening in high entropy alloys was studied for the Cantor alloy using diffusion couples and nanoindentation. We study a continuous variation of alloying content directly correlate nanoindentation hardness to local composition up phase boundary. The dependent is analysed Labusch model more recent Varvenne model. has been fitted experimental data confirms Cr as most potent strengthening element. For comparison predicted yield strength model, concentration-dependent...
Abstract Efficient, reliable and easy-to-use structure recognition of atomic environments is essential for the analysis scale computer simulations. In this work, we train two neuronal network (NN) architectures, namely PointNet dynamic graph convolutional NN (DG-CNN) using different hyperparameters training regimes to assess their performance in identification tasks atomistic data.
We show benchmarks on simple crystal structures, where can compare against established methods. The...
Efficient, reliable and easy-to-use structure recognition of atomic environments is essential for the analysis scale computer simulations. In this work, we train two neuronal network (NN) architectures, namely PointNet dynamic graph convolutional NN (DG-CNN) using different hyperparameters training regimes to assess their performance in identification tasks atomistic data. We show benchmarks on simple crystal structures, where can compare against established methods. The approach...
Tracer diffusion of all constituting elements is studied at various temperatures in a series (CoCrFeMn)$_{100-x}$Ni$_x$ alloys with compositions ranging from pure Ni to the equiatomic CoCrFeMnNi high-entropy alloy. At given homologous temperature, measured tracer coefficients change non-monotonically along transition concentrated and finally This explained by atomistic Monte-Carlo simulations based on modified embedded-atom potentials, which reveal that local heterogeneities atomic...
A fundamental understanding of the strength multi-component alloys relies on well-defined experiments accompanied by accurate modelling. Whilst much work has been done so far for equi-atomic alloys, little to investigate effect solid solution strengthening with deliberately adjusted, non-equimolar composition that are varied in certain concentration steps, including particularly continous changes between equimolar subsets alloy systems. This systematic approach is a key tool verify or...
The vacancy concentration at finite temperatures is studied for a series of (CoCrFeMn)$_{1-x_\mathrm{Ni}}$Ni$_{x_\mathrm{Ni}}$ alloys by grand-canonical Monte-Carlo (MC) simulations. formation energies are calculated from classical interatomic potential and exhibit distribution due to the different chemical environments vacated sites. In dilute alloys, this features multiple discrete peaks, while concentrated an unimodal as there many similar energy. MC simulations using numerically...