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Chaouki HABCHI

Researcher
HDR-Associated with the SMEMaG Doctoral School of CentraleSupelec at the University of Paris-Saclay
PhD from the University of Paris-VI obtained in 1990 in the field of Computational Fluid Mechanics. HDR (habilitation à diriger des recherches) from the Institut National Polytechnique de Toulouse
INRIA / IFPEN
News in brief

IFPEN/Inria partnership: digital technology at the heart of innovation

Digital technologies are playing an increasingly important role in solving industrial problems. IFPEN forged a partnership with Inria. Five years later, we look back over this fruitful partnership.
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Benoit NOETINGER

Dr B Noetinger, editor-in-chief OGST https://ogst.ifpenergiesnouvelles.fr/, expert in transport modeling in disordered media
Benoît Noetinger graduated from the École Polytechnique in Paris, and holds a thesis at UPMC (now Sorbonne University) in liquid state physics, the work of which was carried out at the PMMH laboratory
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Mickaele Le Ravalec

Department Head
Mickaele Le Ravalec holds a Ph.D. degree in rock physics from the University of Rennes (1995) and a HDR from the Louis Pasteur University of Strasbourg (2002). After a post-doctoral position in rock
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Antonio SCIARRETTA

Antonio Sciarretta received a Doctorate degree in thermal machines with a dissertation on engine modeling and control in 1999, and since then he has always worked at the intersection of these fields
Issue 40 of Science@IFPEN
News in brief

Looping the chemistry for clean energy

Chemical Looping Combustion (CLC) is an airless combustion technology using oxygen carrier materials (OCM), which circulate between an oxidation and a reduction reaction zone. Separation into two
Issue 40 of Science@IFPEN
News in brief

Process efficiency: a matter of integration!

In order to optimize the use of very expensive installations, the development of industrial processes needs to take into account integration between units, both for developments relating to mature
Issue 40 of Science@IFPEN
News in brief

Mix between kinetic and machine learning models

Having access to increasingly precise and robust extrapolation models to be able to predict certain propertiesa remains a major challenge for chemical processes industry. For widely used models, be
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Quang Huy TRAN

Research engineer in Scientific Computing
Quang Huy Tran graduated from Mines ParisTech and completed his doctoral thesis in Applied Mathematics at IFPEN and Rice University (Texas) before returning to IFPEN as a research engineer
Numéro 38 de Science@IFPEN
News in brief

SmartEole project: making better use of wind through smart rotors

The rapid development of wind energy production depends, to a great extent, on improving its energy efficiency and its economic profitability. To maximize performance and operating life spans, the