Delving into Theoretical and Computational Considerations for Accurate Calculation of Chemical Shifts in Paramagnetic Transition Metal Systems using Quantum Chemical Methods

09 April 2024, Version 3
This content is a preprint and has not undergone peer review at the time of posting.

Abstract

The chemical shielding tensor for a paramagnetic system has been derived from the macroscopically observed magnetization using the perturbation theory. An approach to calculate the paramagnetic chemical shifts in transition metal systems based on the spin-only magnetic susceptibility directly evaluated from the ab initio Hilbert space of the electronic Zeeman Hamiltonian has been discussed. Computationally, several advantages are associated with this approach: (a) it includes the state-specific paramagnetic Curie (firstorder) and Van Vleck (second-order) contributions of the paramagnetic ion to the paramagnetic chemical shifts; (b) thus it avoids the system-specific modeling and evaluating effectively in terms of the electron paramagnetic resonance (EPR) spin Hamiltonian parameters of the magnetic moment of the paramagnetic ion formulated previously; (c) it can be utilized both in the point-dipole (PD) approximation (in the longrange) and with the quantum chemical (QC) method based the hyperfine tensors (in the short-range). Additionally, we have examined the predictive performance of various DFT functionals of different families and commonly used core-augmented basis sets for nuclear magnetic resonance (NMR) chemical shifts. A selection of transition metal ion complexes with and without first-order orbital contributions, namely the [M(AcPyOx)3(BPh)]+ complexes of M=Mn2+, Ni2+ and Co2+ ions and CoTp2 complex and their reported NMR chemical shifts are studied from QC methods for illustration.

Keywords

NMR
chemical shifts
paramagnetism

Supplementary materials

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Supporting information: Delving into Theoretical and Computational Considerations for Accurate Calculation of Chemical Shifts in Paramagnetic Transition Metal Systems using Quantum Chemical Methods
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Supporting information, containing additional theoretical details and full computational data
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