Using Genetic Algorithms to Map First-Principles Results to Model Hamiltonians: Application to the Generalized Ising Model for Alloys: Article No. 165113

doi:10.1103/PhysRevB.72.165113

Using Genetic Algorithms to Map First-Principles Results to Model Hamiltonians: Application to the Generalized Ising Model for Alloys: Article No. 165113

Chemistry and Nanoscience

Research output: Contribution to journal › Article › peer-review

Original language	American English
Number of pages	13
Journal	Physical Review B - Condensed Matter and Materials Physics
Volume	72
Issue number	16
DOIs	https://doi.org/10.1103/PhysRevB.72.165113
State	Published - 2005

NREL Publication Number

NREL/JA-590-38589

Access to Document

10.1103/PhysRevB.72.165113

Cite this

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title = "Using Genetic Algorithms to Map First-Principles Results to Model Hamiltonians: Application to the Generalized Ising Model for Alloys: Article No. 165113",

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year = "2005",

doi = "10.1103/PhysRevB.72.165113",

language = "American English",

volume = "72",

journal = "Physical Review B - Condensed Matter and Materials Physics",

issn = "1098-0121",

publisher = "American Physical Society",

number = "16",

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DO - 10.1103/PhysRevB.72.165113

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