Doctoral theses

INRIA and IFP Energies nouvelles, leading French research laboratories, are seeking a talented and motivated master's student to join their team for a PhD position. As numerical simulation plays a pivotal role in our research and industrial applications, optimizing the performance of our parallel simulators is crucial.

Electric cars contribute to the de-carbonization of the transport sector and their massive deployment is foreseen. In this context, the battery industry strives for ever improved technologies, both in terms of performance and safety.

It is now established that molecular hydrogen (H2) exists naturally on the planet in the form of diffuse or continuous emanations. However, many questions remain unanswered as to its origin, formation mechanisms and real potential for exploitation.

The numerical discretization of physical models representing evolutionary problems in many fields leads to nonlinear algebraic systems of very large dimensions. The process of solving these systems, which must be carried out robustly and rapidly at each time-step in order to increase software efficiency, comes up against a number of obstacles.

As part IFPEN activities on Energy Transition Sustainable Development, a doctoral thesis is proposed in the Electrochemistry and Materials Department at IFP Energies Nouvelles Solaize, 10 km from Lyon, in collaboration with the company APERAM (CIFRE funding).

The numerical discretization of physical models in many fields leads to very large nonlinear algebraic systems. The resolution of these systems, which is usually achieved by successive linearization like Newton's method, needs to be fast in order to increase software efficiency.

In the context of reducing the environmental impact in polymer manufacturing, the use of recycled plastics will rise. Mechanical recycling is simple and economic, but faces limitations in product quality and appearance.

The importance of air quality cannot be underestimated as it represents a major public health issue: today, nearly 91% of the global population is exposed to air pollution levels exceeding the exposure thresholds set by the WHO. This thesis lies at the intersection of three scientific domains: numerical modeling, air quality, and deep learning.

The employment of high fidelity simulators in industrial application still remain nowadays limited by their computational cost, in particular for the optimization of structure design and reliability assessment. To overcome this situation, several reduced order modeling (ROM) techniques have been developed.

Through various research programs, IFP Energies nouvelles is now strongly involved in the development of bioprocesses to produce biofuels and bio-based chemical intermediates. 

Increasing our scientific and technical knowledge is a vital lever for improving energy systems and reducing our environmental footprint. With this in mind, we propose to develop a technique for simultaneously characterizing the thickness of a liquid film, the flow velocity field within it and that in the surrounding air.

Influence of Coupled Phenomena on Wall Heat Flux in an H2/Air Mixture for Decarbonized Mobility