Suppr超能文献

三元层状MAX相的高通量计算发现及其二维MXene形成的剥离预测。

High-throughput computational discovery of ternary-layered MAX phases and prediction of their exfoliation for formation of 2D MXenes.

作者信息

Khaledialidusti Rasoul, Khazaei Mohammad, Khazaei Somayeh, Ohno Kaoru

机构信息

Department of Mechanical and Industrial Engineering, Norwegian University of Science and Technology (NTNU), 7491 Trondheim, Norway.

出版信息

Nanoscale. 2021 Apr 21;13(15):7294-7307. doi: 10.1039/d0nr08791b. Epub 2021 Apr 12.

Abstract

The rush to synthesize novel two-dimensional (2D) materials has excited the research community studying ternary-layered carbide and nitride compounds, known as MAX phases, for the past two decades in the quest to develop new 2D material precursors. The objective of this study is to expand the family of MAX phases and to investigate their feasible exfoliation to generate 2D systems. To expand the family of MAX phases, we conduct systematic and fundamental research using elemental information and data from high-throughput density functional theory calculations performed on 1122 MAX candidates. Our results suggest that 466 MAX compounds can be synthesized, among which 136 MAX phases can be exfoliated to produce 26 MXenes. We investigate the transition metal or A elements that could be suitable for the formation of novel MAX phase carbides or nitrides and determine promising MAX phases that can be exfoliated to form 2D systems.

摘要

在过去二十年里,为了开发新型二维材料前驱体,竞相合成新型二维(2D)材料激发了研究界对三元层状碳化物和氮化物化合物(即MAX相)的研究热情。本研究的目的是扩展MAX相家族,并研究其可行的剥离以生成二维体系。为了扩展MAX相家族,我们利用元素信息以及对1122种MAX候选物进行高通量密度泛函理论计算得到的数据,开展了系统而基础的研究。我们的结果表明,可以合成466种MAX化合物,其中136种MAX相可以被剥离以生成26种MXene。我们研究了可能适合形成新型MAX相碳化物或氮化物的过渡金属或A元素,并确定了有前景的可被剥离以形成二维体系的MAX相。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验