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Florence Babonneau

Researcher at Collège de France

Publications -  284
Citations -  14396

Florence Babonneau is an academic researcher from Collège de France. The author has contributed to research in topics: Solid-state nuclear magnetic resonance & Mesoporous material. The author has an hindex of 59, co-authored 283 publications receiving 13317 citations. Previous affiliations of Florence Babonneau include Centre national de la recherche scientifique & Pierre-and-Marie-Curie University.

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Advanced solid state NMR techniques for the characterization of sol-gel-derived materials.

TL;DR: A large array of advanced solid state NMR (nuclear magnetic resonance) techniques is presented in the frame of the structural characterization of sol-gel-derived materials, which offers unique perspectives for the description of the hybrid interfaces in terms of chemical and spatial connectivities.
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Structural characterization of organically-modified porous silicates synthesized using CTA+ surfactant and acidic conditions

TL;DR: In this paper, organically modified silicates have been synthesized from RSiO====== 1.5====== units with R/Si=0.2:1, preventing the system from adopting a high degree of hexagonal mesostructural order.
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Synthesis and characterization of poly(aminoborane) as a new boron nitride precursor

TL;DR: In this article, it was shown that polymeric aminoborane (NH2BH2)x has been isolated as a white powder by thermal gravimetric analysis/differential scanning calorimetry, infrared and mass spectroscopies, and powder X-ray diffraction.
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XPS studies of SiO2-TiO2 powders prepared by sol-gel process

TL;DR: In this article, the lineshape of the Si 2p and Ti 2p peaks indicate that silicon and titanium are present as SiO2 and TiO2 oxide both for the starting and thermal-treated powders.
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Liquid-Feed Flame Spray Pyrolysis of Metalloorganic and Inorganic Alumina Sources in the Production of Nanoalumina Powders

TL;DR: In this article, a mixture of transition alumina phases, primarily δ*, is identified and quantified by Rietveld refinement, which can be used to identify the transition phase.