Offer Description
TITLE : Molecular simulations of mechanisms involved in the recycling of heterogeneous catalysts
Catalysts are very often made of active phases containing metallic elements (such as platinoids, cobalt, nickel…) considered as strategic or even critical because of the economic strain induced by a growing usage in multiple sectors (industrial chemistry, energy storage, electrolysers, …) Hence, the quest for a circular economy approach brings new scientific challenges, like the molecular scale understanding of the chemical phenomena involved in the key stages of catalytic metal recycling processes. In particular, within the context of heterogeneous supported catalysts, complex chemical mechanisms of metal leaching are used to recover the metal atoms from the surface of an oxide support, which knowledge remains rather empirical.
By focusing on the strategic case study of cobalt supported on alumina, the PhD project aims at rationalizing this knowledge by using quantum molecular modelling-based methods to address two major scientific challenges. Firstly, the chemical nature of refractory cobalt oxide species, formed in interaction with alumina sites during the thermal pretreatment step that precedes the leaching step, will be identified. Secondly, the chemical bonds (Al-O-Co) breaking mechanisms, involved during the leaching of the as formed oxide cobalt species, will be investigated. Various levels of molecular modelling will be employed: state-of-the-art Density Functional Theory, for the determination of the surface phase diagrams of supported cobalt oxides, molecular dynamics (biased or unbiased) either ab initio or using Machine Learning interatomic potentials for the identification of reaction mechanisms. The results will provide new insights into catalyst eco-design by an optimal choice of the alumina support’s nanostructure.
This thesis will be integrated within the scientific program of the Common Research Laboratory ERACLECE between IFPEN and ENS de Lyon. The PhD student will benefit from the complementary expertise of the two laboratories on these systems and methodologies. Three previous relevant publications:
- A. Hühn et al. Catal. Sci. Technol. 15 (2025) 878 https://doi.org/10.1039/D4CY01152J
- R. Réocreux et al. Nature Communications 10 (2019) 3139. https://doi.org/10.1038/s41467-019-10981-9
- K. Larmier et al. Angew. Chem. Int. Ed. 54 (2015) 6824. https://doi.org/10.1002/anie.201502069
Where to apply
E-mail: pascal.raybaud@ifpen.fr
Requirements
Research Field: Chemistry » Computational chemistry
Education Level: Master Degree or equivalent
Skills/Qualifications
Master degree in Catalysis, Theoretical Chemistry, Physical Chemistry, or Materials Science.
Specific Requirements
Fluency in English, willingness to learn French
Languages: ENGLISH
Level: Excellent
Additional Information
Selection process
CV + Letter of motivation
Additional comments
PhD thesis in collaboration between IFPEN (Dr. P. Raybaud, ORCID : 0000-0003-4506-5062) and ENS de Lyon (Dr C. Michel, ORCID : 0000-0002-4501-7194)
Website for additional job details : https://www.ifpenergiesnouvelles.com/page/pascal-raybaud
Work Location(s)
Number of offers available: 1
Company/Institute: IFP Energies nouvelles
Country: France
City: Solaize
Postal Code: 69360
Street: Rond-point de l'échangeur de Solaize
Contact
City: Rueil-Malmaison
Website: http://www.ifpenergiesnouvelles.com/
Street: 4 avenue de Bois-Préau
Postal Code: 92852
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