Suppr超能文献

调整分散与熵之间的平衡以设计温度响应型柔性金属有机骨架。

Tuning the balance between dispersion and entropy to design temperature-responsive flexible metal-organic frameworks.

机构信息

Center for Molecular Modeling, Ghent University, Technologiepark 903, 9052, Zwijnaarde, Belgium.

Faculty of Physics and Center for Computational Materials Science, University of Vienna, Sensengasse 8/12, 1090, Vienna, Austria.

出版信息

Nat Commun. 2018 Nov 21;9(1):4899. doi: 10.1038/s41467-018-07298-4.

Abstract

Temperature-responsive flexibility in metal-organic frameworks (MOFs) appeals to the imagination. The ability to transform upon thermal stimuli while retaining a given crystalline topology is desired for specialized sensors and actuators. However, rational design of such shape-memory nanopores is hampered by a lack of knowledge on the nanoscopic interactions governing the observed behavior. Using the prototypical MIL-53(Al) as a starting point, we show that the phase transformation between a narrow-pore and large-pore phase is determined by a delicate balance between dispersion stabilization at low temperatures and entropic effects at higher ones. We present an accurate theoretical framework that allows designing breathing thermo-responsive MOFs, based on many-electron data for the dispersion interactions and density-functional theory entropy contributions. Within an isoreticular series of materials, MIL-53(Al), MIL-53(Al)-FA, DUT-4, DUT-5 and MIL-53(Ga), only MIL-53(Al) and MIL-53(Ga) are proven to switch phases within a realistic temperature range.

摘要

金属-有机骨架(MOFs)的温度响应灵活性引起了人们的兴趣。在保持给定晶体拓扑结构的情况下,通过热刺激进行转换的能力是特殊传感器和执行器所需要的。然而,由于缺乏对控制观察到的行为的纳米相互作用的了解,这种形状记忆纳米孔的合理设计受到了阻碍。我们以典型的 MIL-53(Al) 为起点,表明窄孔和大孔相之间的相变是由低温下的分散稳定与高温下的熵效应之间的微妙平衡决定的。我们提出了一个准确的理论框架,该框架基于色散相互作用的多电子数据和密度泛函理论熵贡献,可以设计呼吸热响应 MOFs。在同质系列材料中,MIL-53(Al)、MIL-53(Al)-FA、DUT-4、DUT-5 和 MIL-53(Ga) 中,只有 MIL-53(Al) 和 MIL-53(Ga) 被证明在实际温度范围内发生相变。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验