Magnetic Properties of ZrFe₂ and TiFe₂ within Their Homogeneity Range

Abstract

The magnetic properties of TiFe, and ZrFe, are investigated within their homogeneity range in dependence on the concentration. TiFe, is antiferromagnetic a t titanium excess and a t stoichiometric composition and it is ferromagnetic a t iron excess. ZrFe, is ferromagnetic throughout the whole homogeneity range. The dependences of the Curie temperatures and of the saturation magnetizations on the concentration are determined. By the present studies the discrepancies of the magnetic data of ZrFe, and TiFe, existing in the literature can be attributed to the existence of a homogeneity range Die magnetischen Eigenschaften von TiFe, und ZrFe, wurden im Homogenitiitsbereich in Abhingigkeit von der Konzentration untersucht. TiFe, ist auf der titanreichen Seite und bei stochiometrischer Zusammensetzung antiferromagnetisch, bei EisenuberschuB dagegen ferromagnetisch. ZrFe, ist im gesamten Homogenitiitsbereich ferromagnetisch. Die Abhiingigkeiten der Curietemperaturen und der Siittigungsmagnetisierungen von der Konzentration wurden bestimmt. Mit den vorliegenden Untersuchungen konnen die in der Literatur existierenden Diskrepanzen in den Angaben der magnetischen Eigenschaften von ZrFe, und TiFe, auf die Existenz eines Homogenitiitsbereiches zuriickgefiihrt werden.

Early work on Laves phases in East Germany

“…Authors [95] also determined dielectric constants 3 1 , 3 2 and reflectivity, R, of MgZn 2 in the visible range. They noticed a decrease of R with increasing deviation from stoichiometry and [61], see also [74,77,91]). Fig.…”

“…[61,74,77,91]). They found that excess Fe in TiFe 2 gave rise to ferromagnetic order, whereas stoichiometric TiFe 2 as well as the Ti Fig.…”

Solid solubility by anti-site atoms in the C36-TiCr2 Laves phase revealed by single-crystal X-ray diffractometry

“…In most works as constitutional point defects the possibilities of anti-site atoms or of constitutional vacancies have been considered [8]. 3 Anti-site substitution has been reported on the basis of macroscopic density measurements in comparison with calculated densities (based on the measured lattice parameters and the corresponding structure model) for several binary Laves phase alloys (for both excess of A and B atoms) such as NbCo 2 [9,10], NbFe 2 [9], ZrCo 2 [11], TiFe 2 [12], ZrMn 2 [13], and HfCo 2 [14]. Similarly, X-ray diffraction investigations on single crystals indicated the presence of anti-site atoms for (C36-)NbCo 2 Laves phase [15].…”

Physics-Informed Machine-Learning Prediction of Curie Temperatures and Its Promise for Guiding the Discovery of Functional Magnetic Materials

“…27−31 In this work, we build a random forest (RF) machinelearning model trained on 220 experimentally known ferroand ferrimagnets to unveil patterns in the chemical-to-T C relation of rare-earth-based materials. For experimental verification, we focused on Ce-based compounds, i.e., Ce x Zr 1−x Fe 2 , due to their potentially robust magnetic properties (ZrFe 2 is ferromagnetic around 700 K 32 ) and earth abundance of constituents, making them ideal candidates for technological applications. We also present a unique and fundamental data-driven investigation of the validity and limitations of the de Gennes scaling factor and provide a detailed analysis of its general breakdown beyond a certain rare-earth concentration in any crystalline rare-earth compound.…”