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An optimized species-conserving Monte Carlo method with potential applicability to high entropy alloys.
- Source :
-
Computational Materials Science . Jan2023, Vol. 217, pN.PAG-N.PAG. 1p. - Publication Year :
- 2023
-
Abstract
- We present a species-conserving Monte Carlo (MC) method, motivated by systems such as high-entropy alloys. Current fast local-structure MC methods do not conserve the net concentration of atomic species, or are inefficient for complex atomic systems. By coarse-graining the atomic lattice into clusters and developing a renormalized MC method that takes advantage of the local structure of the atoms, we are able to significantly reduce the number of iterations required for MC simulations to reach equilibrium. In addition, the structure of the method enables easy parallelizability for the future. [Display omitted] [ABSTRACT FROM AUTHOR]
- Subjects :
- *ATOMIC clusters
*ENTROPY
*PETRI nets
*MONTE Carlo method
Subjects
Details
- Language :
- English
- ISSN :
- 09270256
- Volume :
- 217
- Database :
- Academic Search Index
- Journal :
- Computational Materials Science
- Publication Type :
- Academic Journal
- Accession number :
- 160436313
- Full Text :
- https://doi.org/10.1016/j.commatsci.2022.111886