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   https://doi.org/10.1021/acs.chemmater.2c03006  

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2. Ion-Mediated Ligand Exchange and Size Focusing of Semiconductor Nanocrystals in Ligand-Saturated Solutions

   https://doi.org/10.1021/acs.jpcc.8b09215  

   Kholmicheva, Natalia ; Yang, Mingrui ; Moroz, Pavel ; Eckard, Holly ; Vore, Abigail ; Cassidy, James ; Pushina, Mariia ; Boddy, Anthony ; Porotnikov, Dmitry ; Anzenbacher, Pavel ; et al ( June 2018 , The Journal of Physical Chemistry C)
3. A Ligand Protonation Series in Aluminum(III) Complexes of Tridentate Bis(enol)amine Ligand

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4. Ligand Control of Supramolecular Chloride Photorelease

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5. Quantifying the Interdependence of Metal–Ligand Covalency and Bond Distance Using Ligand K‐edge XAS

   https://doi.org/10.1002/ange.201905635  

   Lee, Kyounghoon ; Blake, Anastasia V. ; Donahue, Courtney M. ; Spielvogel, Kyle D. ; Bellott, Brian J. ; Daly, Scott R. ( August 2019 , Angewandte Chemie)

   Bond distance is a common structural metric used to assess changes in metal–ligand bonds, but it is not clear how sensitive changes in bond distances are with respect to changes in metal–ligand covalency. Here we report ligand K‐edge XAS studies on Ni and Pd complexes containing different phosphorus(III) ligands. Despite the large number of electronic and structural permutations, P K‐edge pre‐edge peak intensities reveal a remarkable correlation that spectroscopically quantifies the linear interdependence of covalent M−P σ bonding and bond distance. Cl K‐edge studies conducted on many of the same Ni and Pd compounds revealed a poor correlation between M−Cl bond distance and covalency, but a strong correlation was established by analyzing Cl K‐edge data for Ti complexes with a wider range of Ti−Cl bond distances. Together these results establish a quantitative framework to begin making more accurate assessments of metal–ligand covalency using bond distances from readily‐available crystallographic data.

    

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