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Fundamental Research
News 02 December 2018

Hollow zeolites for increased catalytic efficiency

Zeolites are crystalline aluminosilicates that can be used for the manufacture of catalysts thanks to their physical and chemical properties and, in particular, their organized and regular microporous network, within which some of the catalytic reactions take place.

Photocatalysis, a lighted pathway for CO2 conversion
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Photocatalysis, a lighted pathway for CO2 conversion

Although the climate crisis makes the reduction of CO2 emissions a matter of urgency, some industries will have difficulty in avoiding them, such as cement plants (where the core process is currently based on the calcination of CaCO3) or refineries, which are currently highly energy-intensive. Hence the huge potential interest in procedures that could capture the CO2 released directly from the plant (...) then recover it at a fraction of the energy cost...
New acid zeolites obtained from silicogermanates
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New acid zeolites obtained from silicogermanates

Zeolites are microporous crystalline aluminosilicates that exist in the natural state and can also be synthesised for a wide range of applications, from the biomedical industry to the production of renewable energy. (...) This work was carried out entirely at IFPEN as part of a doctoral thesis and has resulted in a new stable zeolite...
Issue 45 of Science@ifpen
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Semantic segmentation through deep learning in materials sciences

Semantic segmentation conducted on microscopy images is a processing operation carried out to quantify a material’s porosity and its heterogeneity. It is aimed at classifying every pixel within the image (on the basis of degree of heterogeneity and porosity). However, for some materials (such as aluminas employed for catalysis), it is very difficult or even impossible using a traditional image processing approach, since porosity differences are characterized by small contrasts and complex textural variations. One way of overcoming this obstacle is to tackle semantic segmentation via deep learning, using a convolutional neural network.
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Antoine FECANT

Research engineer / Project manager
Antoine Fécant holds an engineering degree from the Ecole Normale Supérieure de Chimie de Lille (2004) and a DEA (Master degree) from the University of Lille I the same year. He then obtained a PhD
Issue 43 of Science@IFPEN
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Metal nanoparticles living on the edge

Platinum nanoparticles supported on chlorinated γ-alumina are used in bifunctional heterogeneous catalysts, which are central to numerous industrial processes. An atomic-scale study...
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Charles-Philippe LIENEMANN

Charles-Philippe Lienemann - Scientific Advisor at the Physics and Analysis Division
Charles-Philippe Lienemann graduated at the University of Geneva (Switzerland) in 1993. He then joined University of Lausanne (Switzerland) within the group of D. Perret and Prof. J-C. Bünzli for his
Issue 42 of Science@IFPEN
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In situ characterization of the genesis of the active sites of hydrotreatment catalysts by X-ray Absorption Spectroscopy

Meeting environmental standards governing the sulfur content of oil-based fuels hinges around the optimization of hydrotreatment processes (HDT), involving, in particular, the development of more
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Céline PAGIS

Research Engineer in Heterogeneous Catalysis – PhD in Material Sciences
Céline Pagis completed a MSc degree from the engineering school of Centrale Marseille in 2015. In 2018, she received her PhD in Material Sciences and Catalysis at IRCELYON and IFP Energies Nouvelles
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Gerhard PIRNGRUBER

Gerhard Pirngruber
Research scientist, Project Leader
I studied Technical Chemistry at the TU Vienne, Austria. After my graduation I moved to Twente University, Netherlands, as a PhD student. Under the supervision of Prof. Lercher, I worked on
Issue 39 of Science@ifpen
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Faujasite zeolite: a new generation is born

THESIS OF CÉLINE PAGIS, YVES CHAUVIN PRIZE 2019