journal article·2017-12-31Open access

Identification of ground-state spin ordering in antiferromagnetic transition metal oxides using the Ising model and a genetic algorithm

Kyuhyun Lee, Yong Youn, Seungwu Han

Abstract

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-known antiferromagnetic oxides such as NiO, Fe2O3, Cr2O3 and MnO2. Furthermore, we identify the ground-state spin ordering in more complicated materials such as Mn3O4 and CoCr2O4.
Source: europepmc · Quality: candidate unverified · Source record ↗

Research context

OpenAlex topics: Magnetic and transport properties of perovskites and related materials · Advanced Condensed Matter Physics · Theoretical and Computational Physics

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Materials Science and Engineering and Research Institute of Advanced Materials, Seoul National University, Seoul, Republic of Korea

Funding

Korea Institute of Science and Technology Information · National Research Foundation of Korea

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