Tensor network analysis of the maple-leaf antiferromagnet spangolite
Philipp Schmoll, Harald O. Jeschke, Yasir Iqbal

TL;DR
This paper uses tensor network methods to analyze the complex magnetic behavior of the maple-leaf antiferromagnet spangolite, revealing a non-trivial dimerized ground state and predicting magnetic phenomena under external fields.
Contribution
It introduces a spatially anisotropic Heisenberg model for spangolite and validates it with advanced tensor network calculations, providing insights into its ground state and thermodynamics.
Findings
Identification of a non-trivially correlated dimer ground state
Prediction of magnetization plateaus at high magnetic fields
Explanation of reduced magnetic moment at high temperatures
Abstract
Spangolite (CuAl(SO)(OH)Cl3HO) is a hydroxy-hydrated copper sulfate mineral with a one-seventh depleted triangular lattice of Cu ions in each layer. Experimental measurements revealed a non-magnetic ground state at with magnetic properties dominated by dimerization. We propose a spatially anisotropic Heisenberg model for the Cu spin- degrees of freedom on this geometrically frustrated and effectively two-dimensional maple-leaf lattice, featuring five symmetry inequivalent couplings with ferromagnetic bonds on hexagons and antiferromagnetic triangular bonds. The validity of the proposed Hamiltonian is demonstrated by state-of-the-art tensor network calculations, which can assess both the nature of the ground state as well as low-temperature thermodynamics, including the effects of a magnetic field. We provide theoretical…
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Taxonomy
TopicsCivil and Geotechnical Engineering Research
