CaCu5-derived rare earth-transition metal-tetrelides with Kagome-like substructures
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Daniel Voßwinkel
Abstract
Nine new tetrelides RET3X2 (RE = rare earth element, T = Rh, Ir and X = Si, Ge, Sn) were synthesized from the elements by arc-melting and subsequent annealing between T = 870 and 1,170 K for 10 days. Several other members of the RET3X 2 series were reinvestigated by powder X-ray diffraction in order to assign the correct structure type. The structures of LaRh3Ge2, CeIr3Si2 and EuIr3Ge2 were refined from single-crystal X-ray diffractometer data of trillings. Their ErRh3Si2-type structure, space group Imma, is an orthorhombically distorted superstructure variant of CeCo3B2 which itself is a coloring variant of the CaCu5 type (space group P6/mmm). The symmetry reduction induces the trilling formation. Based on the powder and single-crystal diffraction data, most of the RET3X2 phases could be assigned to the ErRh3Si2 type. The RET3X2 phases show Kagome networks built up by the rhodium or iridium atoms and interconnected by the tetrel elements. The rare earth atoms fill cavities with coordination number 18 (orthorhombically distorted hexa-capped hexagonal prisms). The powder data for the stannides RERh3Sn2 (RE = La, Ce, Pr) showed only the CeCo3B2 subcell data. Preliminary single-crystal data indicate a slightly higher rare earth content RE 1+x Rh3Sn2 in the incommensurate composite structures. Temperature dependent magnetic susceptibility data of PrRh3Si2 and EuIr3Ge2 show stable trivalent praseodymium and divalent europium. PrRh3Si2 and EuIr3Ge2 show ferromagnetic ordering at TC = 4.9(5) and 33.3(5) K, respectively. The LaRh3Sn2 sample was characterized through its 119Sn Mössbauer spectrum, showing an isomer shift value of 1.71(1) mm s−1.
Acknowledgements
We thank Dipl.-Ing. U. Ch. Rodewald for the intensity data collections.
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Research ethics: Not applicable.
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Informed consent: Not applicable.
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Author contribution: All authors have accepted responsibility for the entire content of this submitted manuscript and approved the submission.
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Use of Large Language Models, AI and Machine Learning Tools: Not relevant. Our group is able to think and act independently.
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Conflict of interest: The authors declare no conflicts of interest regarding this article.
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Research funding: This research was funded by Universität Münster and Deutsche Forschungsgemeinschaft (INST 211/1034-1).
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Data availability: Data is available from the corresponding author on well-founded request.
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