2005
DOI: 10.1103/physrevb.72.224207
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Nonmetal ordering inTiC1xNx: Ground-state structure and the effects of finite temperature

Abstract: The TiC 1−x N x system has long been prized in industry because of its desirable thermodynamic and hardness characteristics. Previous studies have not produced comprehensive results describing the ordering tendencies of TiC 1−x N x at any temperature. We apply the mixed-basis cluster expansion and Monte Carlo methods to the problem and find a fascinating array of ground-state structures occurring at precise nitrogen-concentration intervals of ⌬x =1/16 and related to each other by simple ͑201͒ quasisuperlattice… Show more

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Cited by 18 publications
(8 citation statements)
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“…The energies are then fitted to a generalized Ising model. 22 If care is taken in such a fitting procedure, [24][25][26] the resulting Ising Hamiltonian ͑cluster expansion͒ can predict arbitrary unfitted structures with near first-principles accuracy. The results are iteratively verified ͑and the model improved if necessary͒ using additional first-principles calculations, as described in Ref.…”
Section: Cluster Expansion and Ground State Searchesmentioning
confidence: 99%
“…The energies are then fitted to a generalized Ising model. 22 If care is taken in such a fitting procedure, [24][25][26] the resulting Ising Hamiltonian ͑cluster expansion͒ can predict arbitrary unfitted structures with near first-principles accuracy. The results are iteratively verified ͑and the model improved if necessary͒ using additional first-principles calculations, as described in Ref.…”
Section: Cluster Expansion and Ground State Searchesmentioning
confidence: 99%
“…The search of such ground-state structures is beyond the scope of this work and besides ordering temperatures in related structures are reported to be below room temperature. 67 …”
Section: A Phase Stability Of Ti 2 Alc Upon Oxygen Incorporationmentioning
confidence: 99%
“…[2][3][4][5][6][7][8][9][10][11][12] Cluster expansions predict the value of a material property for a given structure very quickly and accurately, making it computationally feasible to search for structures that have optimal property values or perform statistical sampling to arrive at thermodynamic averages. However for each property and each material, a new cluster expansion must be created by fitting a parametrized function to a set of training data.…”
mentioning
confidence: 99%