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タイトル: | Accurate estimation of a phase diagram from a single STM image |
著者: | Takeuchi, Kazuhito Yuge, Koretaka ![]() ![]() Tabata, Shinya Saito, Hiroki Kurokawa, Shu ![]() ![]() ![]() Sakai, Akira |
著者名の別形: | 竹内, 一仁 弓削, 是貴 田畠, 慎也 黒川, 修 酒井, 明 |
発行日: | 1-May-2018 |
出版者: | Nature Publishing Group |
誌名: | Scientific Reports |
巻: | 8 |
論文番号: | 6841 |
抄録: | We propose a new approach to constructing a phase diagram using the effective Hamiltonian derived only from a single real-space image produced by scanning tunneling microscopy (STM). Currently, there have been two main methods to construct phase diagrams in material science: ab initio calculations and CALPHAD with thermodynamic information obtained by experiments and/or theoretical calculations. Although the two methods have successfully revealed a number of unsettled phase diagrams, their results sometimes contradicted when it is difficult to construct an appropriate Hamiltonian that captures the characteristics of materials, e.g., for a system consisting of multiple-scale objects whose interactions are essential to the system’s characteristics. Meanwhile, the advantage of our approach over existing methods is that it can directly and uniquely determine the effective Hamiltonian without any thermodynamic information. The validity of our approach is demonstrated through an Mg–Zn–Y long-period stacking-ordered structure, which is a challenging system for existing methods, leading to contradictory results. Our result successfully reproduces the ordering tendency seen in STM images that previous theoretical study failed to reproduce and clarifies its previously unknown phase diagram. Thus, our approach can be used to clear up contradictions shown by existing methods. |
著作権等: | © The Author(s) 2018. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
URI: | http://hdl.handle.net/2433/233966 |
DOI(出版社版): | 10.1038/s41598-018-25283-1 |
PubMed ID: | 29717228 |
出現コレクション: | 学術雑誌掲載論文等 |

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