Published March 2010 | Version Published
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Cluster expansion Monte Carlo study of phase stability of vanadium nitrides

  • 1. ROR icon California Institute of Technology

Abstract

Phase stability of stable and metastable vanadium nitrides is studied using density functional theory (DFT) based total-energy calculations combined with cluster expansion Monte Carlo simulation and supercell methods. We have computed the formation enthalpy of the various stable and metastable vanadium nitride phases considering the available structural models and found that the formation enthalpies of the different phases decrease in the same order as they appear in the experimental aging sequence. DFT calculations are known to show stoichiometric V2N to be polymorphic in ϵ-Fe_2N and ζ-Fe2_N structures within a few meV and VN to be more stable in WC(B_h) phase than in the experimentally observed NaCl(B1) structure. As these nitrides are known to be generally nonstoichiometric due to presence of nitrogen vacancies, we used cluster expansion and supercell methods for examining the effect of nitrogen vacancies on the phase stability. It is found that nitrogen vacancies, represented by ◻, stabilize ϵ-Fe_2N phase of V_2N_(1−x◻x) and NaCl(B1) phase of VN_(1−x◻x) compared to ζ-Fe_2N and WC(B_h) phases respectively, rendering the computed phase stability scenario to be in agreement with experiments. Analysis of supercell calculated electronic density of states (DOS) of VN_(1−x◻x) with varying x, shows that the nitrogen vacancies increase the DOS at Fermi level in WC phase, whereas they decrease the DOS in NaCl phase. And this serves as the mechanism of enhancement of the stability of the NaCl phase. Monte Carlo simulations were used for computing the finite temperature formation enthalpies of these phases as a function of nitrogen-vacancy concentration and found close agreement for NaCl(B1) phase of VN_(1−x◻x) for which measured values are available.

Additional Information

© 2010 The American Physical Society. Received 27 November 2009; revised 27 January 2010; published 18 March 2010. One of the authors, C. Ravi, thanks B. K. Panigrahi for the discussion and support for the work. Axel van de Walle acknowledges that this research was supported by the U.S. National Science Foundation through TeraGrid resources provided by NCSA under Grant No. DMR050013N, through the U.S. Department of Energy, National Energy Research Initiative Consortium (NERI-C) under Grant No. DE-FG07- 07ID14893.

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Identifiers

Eprint ID
18654
Resolver ID
CaltechAUTHORS:20100611-141703456

Funding

NSF
National Center for Supercomputing Applications (NCSA)
DMR050013N
U. S. Department of Energy, National Energy Research Initiative Consortium (NERI-C)
DE-FG0707ID14893

Dates

Created
2010-06-13
Created from EPrint's datestamp field
Updated
2023-01-19
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