FLOWCAT · Twinning for Building Excellence and Innovative Solutions in Flow Catalysis

Developing continuous production systems through efficient (bio)catalytic processes - flow catalysis - supported by artificial intelligence is a key paradigm in advanced and sustainable manufacturing. FlowCat aims to address these challenges by fostering collaboration between University of Ljubljana (UL) and leading international research groups in the field of flow catalysis. By twinning with Politecnico di Milano, University of Bari Aldo Moro, University of Graz, KU Leuven, and Sustainable Momentum SL, UL seeks to facilitate knowledge exchange and research cooperation on harnessing bio-based raw materials for the continuous production of valuable compounds. FlowCat's objectives include knowledge and skillset transfer through workshops, summer schools, and on-site training focused on junior scientists. This aims to enhance UL's research excellence, project management, and administrative capabilities, ultimately increasing its competitive research funding and fostering stronger ties with industrial stakeholders. FlowCat is committed to the wide dissemination of project outcomes. Research findings, innovative methodologies, and best practices will be shared through scientific publications, international conferences, and dedicated project workshops. Open-access repositories will also be utilized to make research outputs readily accessible to the global scientific community. Furthermore, the project places significant emphasis on the exploitation of results. Intellectual property generated during the project will be managed strategically to ensure both academic and commercial benefit, aligning with the project's goal of contributing to advanced and sustainable manufacturing practices. FlowCat envisions a transformative impact on continuous chemo-enzymatic synthesis, with the potential to significantly reduce industrial pollution, material consumption, and energy usage. These ambitions are harmoniously aligned with Slovenia's Sustainable Smart Specialisation Strategy.