On correlations between local chemistry, distortions and kinetics in high entropy nitrides: An ab initio study

Ganesh Kumar Nayak, Andreas Kretschmer, Paul Heinz Mayrhofer, David Holec

Publikation: Beitrag in FachzeitschriftArtikelForschungBegutachtung

Abstract

High entropy alloys (HEAs) have triggered significant scientific interest due to their unusual structural stability combined with excellent mechanical and other functional properties. Recently, the high-entropy concept has also been applied to the field of protective coatings. We use ab initio calculations to provide an unbiased insight into their behavior at the atomic level. Namely, we focus on the interplay between high entropy (chemical complexity), sluggish diffusion, and (local) lattice distortions in the example of high configurational entropy sublattice nitride (HESN) ceramics. We show that the high entropy itself is not a guarantee for the sluggishness of diffusion (as quantified by migration barriers). Next, we propose a relation between the local distortions (measured by the width of lattice bond length distributions) and activation energies. The presented results provide examples that the core effects, characterizing the exceptional properties of HEAs, are system-specific and hence highlight the need for analyzing each system of interest individually.

OriginalspracheEnglisch
Aufsatznummer118951
Seitenumfang9
FachzeitschriftActa materialia
Jahrgang255.2023
Ausgabenummer15 August
DOIs
PublikationsstatusElektronische Veröffentlichung vor Drucklegung. - 19 Apr. 2023

Bibliographische Notiz

Funding Information:
GKN and DH highly acknowledge the financial support through the joint project of the Austrian Science Fund (FWF, project number I 4059-N36 ) and the Czech Science Foundation (project number 19-29679L ). AK and PHM acknowledge financial support from the Austrian COMET Program (project K2 InTribology, no. 872176 ). The computational results presented have been partially achieved using the Vienna Scientific Cluster (VSC). VESTA [71] and pymatgen [72] packages were used to visualize and process the structures.

Publisher Copyright:
© 2023

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