4.8 Article

Predictive theoretical screening of phase stability for chemical order and disorder in quaternary 312 and 413 MAX phases

期刊

NANOSCALE
卷 12, 期 2, 页码 785-794

出版社

ROYAL SOC CHEMISTRY
DOI: 10.1039/c9nr08675g

关键词

-

资金

  1. Knut and Alice Wallenberg (KAW) Foundation [KAW 2015.0043]
  2. Swedish Foundation for Strategic Research (SSF) [EM16-0004]
  3. Swedish Research Council [642-2013-8020]

向作者/读者索取更多资源

In this work we systematically explore a class of atomically laminated materials, M(n+1)AX(n) (MAX) phases upon alloying between two transition metals, M ' and M '', from groups III to VI (Sc, Y, Ti, Zr, Hf, V, Nb, Ta, Cr, Mo, W). The materials investigated focus on so called o-MAX phases with out-of-plane chemical ordering of M ' and M '', and their disordered counterparts, for A = Al and X = C. Through use of predictive phase stability calculations, we confirm all experimentally known phases to date, and also suggest a range of stable ordered and disordered hypothetical elemental combinations. Ordered o-MAX is favoured when (i) M ' next to the Al-layer does not form a corresponding binary rock-salt MC structure, (ii) the size difference between M ' and M '' is small, and (iii) the difference in electronegativity between M ' and Al is large. Preference for chemical disorder is favoured when the size and electronegativity of M ' and M '' is similar, in combination with a minor difference in electronegativity of M ' and Al. We also propose guidelines to use in the search for novel o-MAX; to combine M ' from group 6 (Cr, Mo, W) with M '' from groups 3 to 5 (Sc only for 312, Ti, Zr, Hf, V, Nb, Ta). Correspondingly, we suggest formation of disordered MAX phases by combing M ' and M '' within groups 3 to 5 (Sc, Ti, Zr, Hf, V, Nb, Ta). The addition of novel elemental combinations in MAX phases, and in turn in their potential two-dimensional MXene derivatives, allow for property tuning of functional materials.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.8
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据