Numéro 38 de Science@IFPEN
News in brief

A robust vehicle pollution control system thanks to the OQUAIDO chair

The OQUAIDO a applied mathematics chair, launched in January 2016 and hosted by the École des Mines engineering school in Saint-Étienne, brings together academic and industrial partners b to tackle
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Frederic BLONDEL

Research engineer
Frédéric graduated with a PhD diploma in Fluid Mechanics from Ecole Centrale de Lyon in 2014. Since then, he works as a research engineer at IFPEN. Frédéric’s reasearch focuses on both the
Science@ifpen n°35
News in brief

Power in unity: a new approach to simulate complex flows

THESIS BY MOHAMED ESSADKI
Science@ifpen n°35
News in brief

‘‘BRANE Power’’: of genes and algorithms, an alliance for green chemistry

THESIS BY AURÉLIE PIRAYRE, 2018 YVES CHAUVIN PRIZE
Science@ifpen n°34
News in brief

In silico design: digital materials here we come!

Proposing innovative technological products often requires recourse to simulation approaches in order to boost our capacity to evaluate original concepts. This is particularly true in the field of
Science@ifpen n°34
News in brief

Optimizing the electric cable of a floating wind turbine

Floating wind turbine technologies, such as those co-developed by SBM and IFPEN a , are designed to optimize the recovery of offshore wind energy. Optimization solutions are currently being sought to
Science@ifpen n°33
News in brief

A hydro-mechanical model for underground naturally fractured rocks

Natural underground fractures in rocks provide fluids with preferential flow pathways. The resulting global permeability is exploited for energy production ( geothermal energy and oil and gas recovery
Science@ifpen n°33
News in brief

Wind turbines have the wind in their sails, thanks to GPUs

IFPEN has been carrying out research in the field of floating wind turbines for a number of years, developing, for this purpose, the DeepLines Wind TM simulation tool, in partnership with Principia (1
Science@ifpen n°33
News in brief

Faster and just as good: the motto of adaptive methods

In the field of numerical simulation, a sufficiently accurate representation of the data associated with physical models requires, in general, a very large numerical grid that, despite existing