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Fundamental Research
News 19 February 2021

IFPEN sheds light on the genesis of deposit formation in fuels

Teams at IFPEN studied the phenomenon of fuel autoxidation, phase separation and deposit formation causing a variety of malfunctions. Having proposed a new deposit formation process, researchers validated it for diesel, biodiesel and aviation kerosene fuels using a new methodology and demonstrated the role of charge carriers and polarity at the oxidized/non-oxidized product interface. 

Issue 45 of Science@ifpen
News in brief

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.
Issue 45 of Science@ifpen
News in brief

Digital Rock Physics at IFPEN

Today, characterization of geological reservoirs, a long-standing theme in petroleum exploration, becomes a base of interest for a variety of applications, such as CO2 and hydrogen storage as well as geothermal energy. In recent years, the combined use of 3D microtomography (or micro-CT ) imaging and advanced simulation techniques has allowed the emergence of a digital approach to computing the petrophysical properties of reservoir rocks (Digital Rock Physics). This represents a real complement - and in some cases an alternative - to traditional laboratory measurements.
Issue 45 of Science@ifpen
News in brief

Numerical design based on the analysis of multi-scale porous material microstructures

The design of high-quality porous materials is a major challenge for the energy efficiency of industrial processes in the fields of catalysis and biocatalysis and separation and purification operations. For such applications, these materials derive their properties of interest from their specific microstructure, incorporating a large quantity of empty spaces that are organized and connected on a nanometric scale. IFPEN and Saint Gobain Research Provence (SGRP) joined forces to acquire a tool that will ultimately facilitate the development of porous materials optimized for given usages.
Issue 43 of Science@IFPEN
News in brief

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 study of the detailed structure of a foam flowing in a real porous medium

Foam injection during oil production or ground remediation is aimed at overcoming problems of gravity segregation and viscous fingeringa created by fluid injection. Improving this practice requires
Issue 42 of Science@IFPEN
News in brief

Rapid elementary metal mapping via LIBS

Effectively detecting the presence of very low quantities of elements in industrial materials is a major challenge. One such example is heterogeneous catalysis where contamination and poisoning of
Issue 42 of Science@IFPEN
News in brief

Multiplying analytical dimensions to identify bio-based molecules

IFPEN is actively involved in the development of innovative processes for the conversion of lignocellulosic biomass into bio-based fuels and molecules. However, in chemical terms, the products
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Thibaud Chevalier

Research Engineer / Ph.D. in Mechanical Engineering
Thibaud Chevalier graduated from Ecole Normale Supérieure de Cachan in 2010 and received his PhD in mechanical engineering in 2013 on the flow of yield stress fluids in confined geometries under the
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Loïc SORBIER

Research Engineer
Loïc Sorbier is a research engineer in Physics graduated from ESPCI Paris. He obtained his PhD in materials science from université de Montpellier and possess accreditation to supervise research (HDR)