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NMR Shielding in Metals Using the Augmented Plane Wave Method.

Robert Laskowski1, Peter Blaha2

  • 1Institute of High Performance Computing, ASTAR, 1 Fusionopolis Way, #16-16, Connexis, Singapore 138632.

The Journal of Physical Chemistry. C, Nanomaterials and Interfaces
|September 1, 2015
PubMed
Summary
This summary is machine-generated.

We present a new method for calculating nuclear magnetic resonance (NMR) magnetic shielding in metals. This approach consistently includes spin and orbital responses, improving the accuracy of first-principle calculations for metallic systems.

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Area of Science:

  • Solid-state physics
  • Quantum chemistry
  • Materials science

Background:

  • Accurate calculation of magnetic shielding is crucial for understanding NMR spectra in metals.
  • Previous methods often struggled to consistently incorporate both spin and orbital contributions, especially for transition metals.

Purpose of the Study:

  • To develop and present a consistent theoretical framework for calculating solid-state NMR magnetic shielding in metals.
  • To investigate the contributions of both orbital and spin responses to NMR shielding, particularly in transition metals.

Main Methods:

  • Density Functional Theory (DFT) combined with the augmented plane wave (APW) approach.
  • Implementation within the WIEN2k computational code.
  • Inclusion of all-electron self-consistent treatment for core states and consideration of induced spin-polarization.

Main Results:

  • Calculations successfully incorporate both orbital and complete spin responses for NMR magnetic shielding.
  • For transition metals, core s-states are polarized in the opposite direction by the induced magnetic moment of d-electrons.
  • First-principle calculations yield converged and reliable results, surpassing previous estimations of accuracy.
  • Large k-meshes and Fermi-broadening are essential for achieving converged results.

Conclusions:

  • Both spin and orbital components of NMR shielding are necessary for accurate reproduction of experimental shifts in metallic systems, especially transition metals.
  • The developed method enables routine and reliable NMR calculations for a wide range of metallic systems.
  • This work advances the predictive power of computational methods in solid-state NMR spectroscopy.