scispace - formally typeset
R

Robert E. Benfield

Researcher at University of Kent

Publications -  72
Citations -  1847

Robert E. Benfield is an academic researcher from University of Kent. The author has contributed to research in topics: Extended X-ray absorption fine structure & Cluster (physics). The author has an hindex of 23, co-authored 72 publications receiving 1791 citations. Previous affiliations of Robert E. Benfield include Centre national de la recherche scientifique & Beijing Institute of Technology.

Papers
More filters
Journal ArticleDOI

Mean coordination numbers and the non-metal–metal transition in clusters

TL;DR: The mean first-nearest-neighbour coordination number text-decoration:overlineN1 of atoms in a cluster is an important parameter characteristic of cluster size and geometry as mentioned in this paper.
Journal ArticleDOI

Carbon monoxide oxidation on nanostructured CuOx/CeO2 composite particles characterized by HREM, XPS, XAS, and high-energy diffraction

TL;DR: In this paper, a wide range of techniques were used to characterize the catalysts: high-resolution TEM and X-ray photoelectron spectroscopy, as well as high-energy diffraction (HED) and x-ray absorption spectroglobalization (XANES and EXAFS) using synchrotron radiation.
Journal ArticleDOI

Structure and Bonding of Gold Metal Clusters, Colloids, and Nanowires Studied by EXAFS, XANES, and WAXS

TL;DR: In this article, the structure and bonding of a series of gold clusters and gold nanomaterials stabilized by ligands or confined within nanoporous alumina have been investigated using EXAFS, XANES, and WAXS.
Journal ArticleDOI

Morphology and structure of CuOx/CeO2 nanocomposite catalysts produced by inert gas condensation: An HREM, EFTEM, XPS, and high-energy diffraction study

TL;DR: Inert gas condensation (IGC) has been employed to produce nanoparticles of the low-temperature combustion catalyst CuOx/CeO2 in this paper, and the factors that control the growth, structure and morphology of the nanocomposite have been studied.
Journal ArticleDOI

Exact analytical formulae for mean coordination numbers in clusters

TL;DR: In this article, the authors derived analytical formulae for mean nearest-neighbour coordination numbers in clusters as a function of cluster size for a range of geometries.