Publications
Open data in catalysis: from today's big picture to the future of small data
Guidelines on how to maximize the usefulness of data sharing and on how to make use of catalysis informatics tools to extract key information.
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Descriptor-property relationships in heterogeneous catalysis: Exploiting synergies between statistics and fundamental kinetic modelling
By combining statistical machine learning methods with microkinetics modelling, the impact of catalyst properties on performance. Thereby, qualitative guidelines for designing more performant OCM catalysts were inferred.
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From powder to extrudate zeolite-based bifunctional hydroisomerization catalysts: on preserving zeolite integrity and optimizing Pt location
The impact of scale-up in bifunctional catalysts was unveiled. Zeolite properties can now be kept and Pt location optimized to maximize catalyst performance.
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