Ab initio study of structural, mechanical and electronic properties of 3d transitional metal carbide in cubic rocksalt (rs), zincblende (zb), and cesium chloride (cc) structures by using LDA and GGA Approximation

Context This study rigorously investigates three 3d transition metal carbide (TMC) structures via LDA and GGA approximations. It examines cohesive energy (E coh ), Vickers hardness (H v ), mechanical stability, and electronic properties. Notably, most 3d TMCs exhibit higher cohesive energy than nitr...

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Veröffentlicht in:Journal of molecular modeling 2023-09, Vol.29 (9), p.302-302, Article 302
Hauptverfasser: Sabbar, Ehsan H., Al-Zubaidi, Hazim A., Kurdi, Aous H., Ibrahim, Isam M., Ali, Iftikhar M.
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Sprache:eng
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Zusammenfassung:Context This study rigorously investigates three 3d transition metal carbide (TMC) structures via LDA and GGA approximations. It examines cohesive energy (E coh ), Vickers hardness (H v ), mechanical stability, and electronic properties. Notably, most 3d TMCs exhibit higher cohesive energy than nitrides, and rs-TiC demonstrates a Vickers hardness of 25.66 GPa, outperforming its nitride counterpart. The study employs theoretical calculations to expedite research, revealing mechanical stability in CrC and MnC (GGA) and CrC (LDA in cc structure), while all 3d TMCs in rs and seven in zb structures show stability. Charge transfer and bonding analysis reveal enhanced covalency along the series, influenced by the interplay between p orbitals of carbon and d orbitals of the metal. Most 3d TMCs exhibit metallic properties, excluding zb-TiC and zb-FeC in all phases. An inverse correlation between elastic constant C 44 and electronic states near the Fermi level (E F ) emerges, guiding applications and design. This study efficiently uncovers 3d TMC properties, offering insights for applications and design. Methods We employed the Vienna ab initio Simulation software (VASP) to perform computations based on density functional theory (DFT). Our approach incorporated both the projector augmented wave (PAW) and PW91 general gradient approximation (GGA) methods within the local density approximation (LDA).
ISSN:1610-2940
0948-5023
DOI:10.1007/s00894-023-05698-y