Suppr超能文献

Single-Molecule Magnet Behavior of Individual Polyoxometalate Molecules Incorporated within Biopolymer or Metal-Organic Framework Matrices.

作者信息

Salomon William, Lan Yanhua, Rivière Eric, Yang Shu, Roch-Marchal Catherine, Dolbecq Anne, Simonnet-Jégat Corine, Steunou Nathalie, Leclerc-Laronze Nathalie, Ruhlmann Laurent, Mallah Talal, Wernsdorfer Wolfgang, Mialane Pierre

机构信息

Institut Lavoisier de Versailles, UMR CNRS 8180, Université Paris Saclay, Université de Versailles St-Quentin en Yvelines, 45 Avenue des Etats-Unis, 78035, Versailles cedex, France.

CNRS and Université Grenoble Alpes, Institut Néel, 38042, Grenoble, France.

出版信息

Chemistry. 2016 May 4;22(19):6564-74. doi: 10.1002/chem.201600202. Epub 2016 Apr 15.

Abstract

The chemically and structurally highly stable polyoxometalate (POM) single-molecule magnet (SMM) (FeW9 O34 )2 Fe4 (H2 O)2 (Fe6 W18 ) has been incorporated by direct or post-synthetic approaches into a biopolymer gelatin (Gel) matrix and two crystalline metal-organic frameworks (MOFs), including one diamagnetic (UiO-67) and one magnetic (MIL-101(Cr)). Integrity of the POM in the Fe6 W18 @Gel, Fe6 W18 @UiO-67 and Fe6 W18 @MIL-101(Cr) composites was confirmed by a set of complementary techniques. Magnetic studies indicate that the POMs are magnetically well isolated. Remarkably, in Fe6 W18 @Gel, the SMM properties of the embedded molecules are close to those of the crystals, with clear quantum tunneling steps in the hysteresis loops. For the Fe6 W18 @UiO-67 composite, the molecules retain their SMM properties, the energy barrier being slightly reduced in comparison to the crystalline material and the molecules exhibiting a tunneling rate of magnetization significantly faster than for Fe6 W18 @Gel. When Fe6 W18 is introduced into MIL-101(Cr), the width of the hysteresis loops is drastically reduced and the quantum tunneling steps are smeared out because of the magnetic interactions between the antiferromagnetic matrix and the SMM guest molecules.

摘要

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