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Identification of ground-state spin ordering in antiferromagnetic transition metal oxides using the Ising model and a genetic algorithm
We identify ground-state collinear spin ordering in various antiferromagnetic transition metal oxides by constructing the Ising model from first-principles results and applying a genetic algorithm to find its minimum energy state. The present method can correctly reproduce the ground state of well-k...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Taylor & Francis
2017
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5402741/ https://www.ncbi.nlm.nih.gov/pubmed/28458746 http://dx.doi.org/10.1080/14686996.2017.1300046 |