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May 6, 2026European Journal of Inorganic Chemistry0 citationsOpen Access

A Three‐Dimensional Structural Model for Predicting Magnetic Exchange and Hydrogen Positions in Bis‐μ‐Hydroxido Cu(II) Dimers

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SGStefani Gamboa-RamírezKYKhalil YoussefRPRafaello Papadakis

Key Points

  • To develop a model predicting magnetic exchange and hydrogen positions in bis-μ-hydroxido Cu(II) dimers.
  • Conducted BS-DFT calculations and J-decomposition analysis on a benchmark complex.
  • Examined correlation of structural parameters, including Cu-O-Cu bridging angle and hydroxido hydrogen angles.
  • Validated model against 22 structurally diverse dimers exhibiting various magnetic properties.
  • Achieved a 15-fold improvement in predictive accuracy for magnetic exchange constants.
  • Correctly predicted the sign of exchange coupling constant J in all test cases.
  • Identified bridging hydrogen position uncertainties as a major error in computational magnetochemistry.

Abstract

The magnetic properties of bis‐μ‐hydroxido copper(II) complexes were investigated with a focus on the correlation between structural parameters and exchange coupling constants ( J ). Beyond the classical Cu‐O‐Cu bridging angle ( θ ), we examined the hydroxido hydrogen out‐of‐plane angle ( α ) as a critical parameter. Using BS‐DFT calculations and J ‐decomposition analysis on a benchmark complex, we showed that the kinetic exchange contribution governs the α‐dependence of magnetic coupling. A three‐dimensional magneto‐structural correlation incorporating both θ and α was developed and validated against 22 structurally diverse dimers spanning ferromagnetic to antiferromagnetic regimes. Our model achieved a 15‐fold improvement in predictive accuracy and correctly reproduced the sign of J in all cases. Notably, it enables estimation of the out‐of‐plane angle α , and thus the bridging hydrogen positions, often unresolved in X‐ray diffraction data. Our findings highlight that bridging hydrogen position uncertainties are a major error source in computational magnetochemistry, offering a refined approach to predict magnetic behavior and enhance computational accuracy.

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Cite This Study

Gamboa-Ramírez et al. (2026) studied this question.

synapsesocial.com/papers/69fa8ef304f884e66b53152dhttps://doi.org/10.1002/ejic.202500589
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