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the stability and degradation mechanisms of catalysts under operating conditions, using in situ characterization techniques (Raman spectroscopy, etc.) and post-mortem techniques (SEM, XPS, etc
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to identify and model the most efficient catalytic sites on NDs using advanced Density Functional Theory (DFT) calculations. The project seeks to revolutionize the design of ND-based catalysts by controlling
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reaction. The researcher will: - Prepare Fischer-Tropsch catalysts; - Characterize catalysts using a combination of physicochemical methods (XRD, FTIR, TPR, XPS, imaging); - Conduct Fischer-Tropsch reactions
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, cobalt, nickel, etc.) -Preparation of heterogeneous catalysts via surface organometallic chemistry -Characterization of materials (IR spectroscopy, solid-state NMR, electron microscopy) -Investigation
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The subject concerns the study of new catalysts
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. In this project, we aim to develop digital tools combining density functional theory (DFT) and machine learning (ML) to accelerate the in-silico design of solid catalysts for the DA process. - Perform
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of suitable catalysts and the optimization of operating conditions. This project aims to investigate the catalytic conversion of phenolic monomers via the catalytic hydrogen transfer process in both gas and
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antennas. These films will be synthesized electrochemically or by optical lithography. - Decoration of the gold films with electrocatalysts via electrochemical methods: the catalysts will be chosen according