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Natalie Fey

Researcher at University of Bristol

Publications -  77
Citations -  3255

Natalie Fey is an academic researcher from University of Bristol. The author has contributed to research in topics: Ligand & Denticity. The author has an hindex of 33, co-authored 77 publications receiving 2747 citations. Previous affiliations of Natalie Fey include Keele University & University of Parma.

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Computational Ligand Descriptors for Catalyst Design

TL;DR: A survey of calculated ligand descriptors, with a particular focus on homogeneous organometallic catalysis, is presented, illustrating how descriptor-led studies of catalysis can inform experiments and highlighting good practice for model comparison and evaluation.
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Building ligand knowledge bases for organometallic chemistry: Computational description of phosphorus(III)-donor ligands and the metal–phosphorus bond

TL;DR: In this paper, a review of calculated descriptors for phosphorus(III) ligands as widely used in organometallic and coordination chemistry is presented, as well as the application of such ligand descriptors in models, maps and predictions of ligand effects.
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Accurate modelling of Pd(0) + PhX oxidative addition kinetics

TL;DR: Barrios-Landeros et al. as mentioned in this paper used dispersion-corrected DFT (DFT-D) together with solvation to examine possible mechanisms for reaction of PhX (X = Cl, Br, I) with Pd(PtBu3)2 and compare their results to recently published kinetic data.
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A computational study of phosphine ligand effects in Suzuki-Miyaura coupling

TL;DR: In this paper, the full catalytic cycle of the Suzuki-Miyaura coupling between PhBr and PhB(OH)3− with four different palladium monophosphine catalysts derived from Pd(PMe3)2, PdP(CF3)3), PdPh3, PhPh3 and PdpBu3 were explored and the differences between the ligands have been analyzed.
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Expansion of the Ligand Knowledge Base for Monodentate P-Donor Ligands (LKB-P)†

TL;DR: This expansion to 348 ligands captures known ligand space for this class of monodentate two-electron donor ligands well, and principal component analysis (PCA) of the descriptors are used to derive an improved map of ligandspace.