Frontiers in Catalysis (Jul 2022)

Modelling complex molecular interactions in catalytic materials for energy storage and conversion in nuclear magnetic resonance

  • Wenda Hu,
  • Wenda Hu,
  • Nicholas R. Jaegers,
  • Austin D. Winkelman,
  • Austin D. Winkelman,
  • Shiva Murali,
  • Shiva Murali,
  • Karl T. Mueller,
  • Yong Wang,
  • Yong Wang,
  • Jian Zhi Hu,
  • Jian Zhi Hu

DOI
https://doi.org/10.3389/fctls.2022.935174
Journal volume & issue
Vol. 2

Abstract

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Nuclear magnetic resonance (NMR) is a non-destructive and atom-specific specific tool that has become a burgeoning analytic method for understanding the detailed molecular interactions in catalysis and energy storage materials. However, the observation of diverse chemical shifts arising from complex molecular interactions makes the interpretation of NMR spectroscopy increasingly challenging, in particular for a novel system without standards for comparison. Density functional theory-NMR (DFT-NMR) is an indispensable tool to mitigate these challenges and provide detailed 3D molecular structures that relate materials and reaction intermediate structures, and information about chemical interactions, dynamics, and reaction mechanisms. This review provides a fundamental background in DFT-NMR relating to theory development, critical parameters for calculating NMR properties, computational accuracy, and the current capabilities. A variety of practical examples from the fields of catalysis and energy storage, including CO2 capture, are summarized to illustrate the capabilities of DFT-NMR application to date. Last but not least, cautionary notes on the application of these strategies are presented for researchers modeling their own systems.

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