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Calculating spin crossover temperatures by a first-principles LDA+U scheme with parameter U evaluated from GW.

Yachao Zhang1

  • 1Guizhou Provincial Key Laboratory of Computational Nano-Material Science, Guizhou Education University, Guiyang 550018, China.

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|October 10, 2019
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Summary

Predicting spin crossover (SCO) temperatures requires accurate local Coulomb correlation. A new framework using dynamical U (U_dyn) derived from GW calculations improves predictions for iron(II) complexes, achieving a low mean absolute error of 176 K.

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Area of Science:

  • Computational chemistry
  • Materials science
  • Quantum mechanics

Background:

  • Accurate prediction of spin crossover (SCO) temperatures (T1/2) is crucial for designing functional materials.
  • The Local Density Approximation combined with the Hubbard U model (LDA+U) offers a balance between accuracy and computational cost for SCO studies.
  • Static U values in LDA+U can limit predictive power and fail to account for electronic structure changes.

Purpose of the Study:

  • To develop a framework for deriving dynamical U (U_dyn) values from many-body GW calculations for iron(II) complexes.
  • To assess the performance of the proposed LDA+U_dyn method in predicting experimental ground spin states and SCO temperatures.
  • To overcome the limitations of static U values in computational modeling of SCO phenomena.

Main Methods:

  • Derivation of dynamical U (U_dyn) values using many-body GW calculations.
  • Application of the LDA+U_dyn method to iron(II) complexes with varying ligand fields.
  • Model calculations and comparison with experimental data for SCO properties.

Main Results:

  • U values derived from GW calculations are dependent on the local electronic environment.
  • The LDA+U_dyn method successfully reproduces experimental ground spin states of selected SCO complexes.
  • The LDA+U_dyn approach significantly improves the calculation of thermochemical quantities compared to static U.
  • Predicted T1/2 values show a small mean absolute error of 176 K relative to experimental data.

Conclusions:

  • The proposed framework provides a more accurate description of local Coulomb correlation for SCO systems.
  • Dynamical U values derived from GW calculations enhance the predictive capability of LDA+U for SCO temperatures.
  • The LDA+U_dyn method offers a reliable computational tool for the design and understanding of spin crossover materials.