Issue 39, 2022

The interpretation and prediction of lanthanide single-ion magnets from ab initio electronic structure calculation: the capability and limit

Abstract

The single-molecule magnet (SMM) is a fascinating system holding the potential of being a revolutionary micro-electronic device in information technology. However current SMMs are still far away from real-life application due to their limited performance. Progress towards a performance improvement in SMMs relies on the understanding and then regulation of the magnetic relaxation, which is the microscopical process underlying SMM behaviours. Currently, ab initio electronic structure calculation has become the most popular tool to provide such knowledge, and hence a perspective on its capability and limits is highly valuable. In this work, we make such an attempt based on our research experience with an important constituent of SMM, i.e., the lanthanide single-ion magnet (Ln-SIM). Besides some fundamental knowledge, we demonstrate what ab initio calculation applied to Ln-SIMs can provide, including both qualitative interpretation and quantitative prediction. The most optimistic expectation is a prediction of the blocking temperature TB with a relative deviation of a few tens of percentages. However we must be aware that reliable assessments of the precision of these results, obtained from ab initio calculation, are crucial to conduct a rational utilization of ab initio calculation in SMMs. Thus, based on our experience and understanding, we also provide such assessments for the sake of being unbiased.

Graphical abstract: The interpretation and prediction of lanthanide single-ion magnets from ab initio electronic structure calculation: the capability and limit

Article information

Article type
Perspective
Submitted
15 Mei 2022
Accepted
22 Ago 2022
First published
22 Ago 2022

Dalton Trans., 2022,51, 14793-14816

The interpretation and prediction of lanthanide single-ion magnets from ab initio electronic structure calculation: the capability and limit

X. Wu, J. Li and B. Yin, Dalton Trans., 2022, 51, 14793 DOI: 10.1039/D2DT01507B

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