Charting new regions of Cobalt's chemical space with maximally large magnetic anisotropy: A computational high-throughput study
Lorenzo A. Mariano, Vu Ha Anh Nguyen, Valerio Briganti, and Alessandro, Lunghi

TL;DR
This study uses high-throughput computational methods to explore cobalt(II) complexes, discovering new compounds with record-breaking magnetic anisotropy that challenge traditional coordination paradigms.
Contribution
It introduces a large-scale computational screening of Co(II) complexes, revealing new structures with high magnetic anisotropy beyond known paradigms.
Findings
Over 100 compounds show high magnetic anisotropy.
Record-breaking anisotropy achieved with coordination numbers four or higher.
Expands understanding of chemical space for designing single-molecule magnets.
Abstract
Magnetic anisotropy slows down magnetic relaxation and plays a prominent role in the design of permanent magnets. Coordination compounds of Co(II) in particular exhibit large magnetic anisotropy in the presence of low-coordination environments and have been used as single-molecule magnet prototypes. However, only a limited sampling of Cobalt's vast chemical space has been performed, potentially obscuring alternative chemical routes toward large magnetic anisotropy. Here we perform a computational high-throughput exploration of Co(II)'s chemical space in search of new single-molecule magnets. We automatically assemble a diverse set of about 15000 novel complexes of Co(II) and fully characterize them with multi-reference ab initio methods. More than 100 compounds exhibit magnetic anisotropy comparable to or larger than leading known compounds. The analysis of these results shows that…
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Taxonomy
TopicsCatalysis and Oxidation Reactions · Machine Learning in Materials Science · Magnetism in coordination complexes
