Phases, Defects & Microstructure

Defects are crucial in determining materials properties and occur on a wide range of time and length scales, from point defects to extended ones. To simulate the rich world of phase stability, defects, and microstructure, from interstitial doping towards grain boundary mobility, requires advanced and diverse simulation techniques from electronic structure calculations, machine learning, thermodynamic integration and molecular dynamics simulations.

Project C3 of the SFB/TR103 investigates high-temperature dislocation-dislocation and dislocation-precipitate interactions in the gamma/gamma-prime microstructure of Ni-base superalloys. [more]
Project A02 of the SFB1394 studies dislocations in crystallographic complex phases and investigates the effect of segregation on the structure and properties of defects in the Mg-Al-Ca System. [more]
Solute-grain boundary interaction can have a strong impact on material properties, even at very dilute solute concentrations. Traditionally this interaction is represented with a single segregation energy; in this project we use empirical potentials to demonstrate that using a spectral representation of the interaction is important for accurately capturing temperature dependent behavior. Furthermore, we use empirical potentials in combination with machine learning to efficiently determine these spectra.  [more]
Faceting of grain boundaries has a strong impact on the properties of structural, functional, and optoelectronic materials. In this project, we employ density-functional theory and modified embedded atom method calculations to investigate the energetics and thermodynamic stability of facets and line junctions in Silicon. We find that higher energy metastable GB phases can be stabilized by thermodynamics and not kinetics when constituting the facets at line junctions. This is in contrast to the common perception that the properties of faceting are merely driven by the anisotropic GB energies.  [more]
A high degree of configurational entropy is a key underlying assumption of many high entropy alloys (HEAs). However, for the vast majority of HEAs very little is known about the degree of short-range chemical order as well as potential decomposition. Recent studies for some prototypical face-centered cubic (fcc) HEAs such as CrCoNi showed that short-range order (SRO) can influence critical materials properties as, e.g., stacking fault energies. For refractory HEAs, due to slow diffusivity chemical ordering may hardly ever be achieved  under typical experimental conditions but could potentially influence creep properties long-term applications. In this project we therefore study the phase stability and short-range order of selected fcc as well as bcc refractory HEAs computationally. [more]
The supercell approach allows to model defects with efficient periodic boundary models. By making the supercell sufficiently large, in principle, the limit of an single defect can be recovered. In practice, defect-defect interactions are still relevant for affordable system sizes. We demonstrate that empirical extrapolation has its limitations if the underlying physics is not taken into account or not even known. [more]
We simulate the ionization contrast in field ion microscopy arising from the electronic structure of the imaged surface. For this DFT calculations of the electrified surface are combined with the Tersoff-Hamann approximation to electron tunneling. The approach allows to explain the chemical contrast observed for NiRe alloys. [more]
Extremely strong (~10 V/nm) electric fields rupturing atomic bonds is a relatively well-studied concept in the field of molecular chemistry. When extended to crystalline systems, i.e. material surfaces, this concept is known as field evaporation and its exact mechanisms become more challenging to predict. Field evaporation is the central phenomenon that enables atom probe tomography (APT) and 3D field ion microscopy (3D-FIM), and obtaining atomically-accurate APT reconstructions will be impossible without an atomically-accurate understanding of how ions initially form and depart from the surface. By performing first-principles calculations on faceted surfaces under extreme fields, we search for such an understanding in pure metals and alloys. [more]
Identifying mechanisms for hydrogen contamination of solid materials will help the quantification of H concentration in materials by atom probe tomography (APT) and elucidate open questions regarding H-involving mechanisms, like H embrittlement. [more]
We study the impurity incorporation mechanisms in metallic nano-aerogels is expected to identify routes to the targeted design of specimens with desired concentrations of impurities. [more]
Growth and Properties of V-pit Defects on Wurtzite GaN Polar Surfaces
The fundamental mechanisms of V-pits formation on epitaxially grown GaN polar surfaces are investigated combining state-of-the-art first-principles calculations and elasticity theory.
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Dislocation Induced Nanopipe Formation in GaN
Screw dislocation induced nanopipes are investigated by combining elasticity theory with density functional theory calculations. Based on these calculations a c-type screw dislocation phase diagram is constructed which describes the energetically most favorable core structures as function of the Ga, N and H chemical potentials. We find that nanopipes with diameters ranging from ≈1 to ≈2 nm are energetically favorable for high values of the H chemical potential and conditions that correspond to MOCVD and MOVPE growth. more
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