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UID:31666-1764763200-1764765000@www.dica.polimi.it
SUMMARY:Life Cycle Assessment of E-Diesel production
DESCRIPTION:Il prossimo appuntamento con la serie di incontri PhDTalks si terrà Mercoledì 3 dicembre nell’aula Grandori (Edificio 4)\, dalle 12:00 alle 13:00 CET. \nPhDTalks è una serie di seminari e discussioni tra dottorandi. Gli eventi hanno lo scopo di fornire un luogo dove creare un network tra dottorandi ed entrare in contatto con i molti progetti sviluppati nel nostro dipartimento. \nLa speaker Paula Martina Barbato condurrà un seminario dal titolo “Life Cycle Assessment of E-Diesel production”.  \nAl termine dell’evento sarà disponibile un piccolo rinfresco finanziato dal dipartimento. \nSarà possibile seguire la conferenza anche online al seguente link. \nAbstract\nIn recent years\, electrofuels (e-fuels) have gained increasing attention as a promising alternative to conventional fossil fuels\, offering a potential pathway for decarbonising multiple sectors. Synthesised from hydrogen and carbon dioxide (CO2) using renewable energy\, e-fuels are currently being discussed within the European automotive policy framework as a possible solution to enable the continued registration of new internal combustion engine (ICE) passenger vehicles beyond 2035. \nSo far\, most research has focused on their use in hard-to-electrify sectors\, leaving their potential role in passenger road transport underexplored. This talk investigates the environmental performance of e-diesel production through the application of the Life Cycle Assessment (LCA) methodology. Six production scenarios\, differing in CO2 sources\, electricity supply mixes\, and methodological choices\, are investigated and compared. By examining these variations\, the study aims to identify under which conditions e-diesel could provide environmental improvements compared to fossil diesel\, and whether it can truly represent a bridge toward a more sustainable transport future.\nSpeaker’s bio\nPaula holds an MSc in Environmental and Land Planning Engineering from the Politecnico di Milano (2023) and is currently in the final year of her PhD (39th cycle). Her research focuses on evaluating the environmental impacts of alternative fuels for the automotive sector through the Life Cycle Assessment methodology\, with a particular emphasis on the emerging e-fuels. \nIn her free time\, she loves reading\, swimming\, and travelling.
URL:https://www.dica.polimi.it/it/evento/life-cycle-assessment-of-e-diesel-production/
CATEGORIES:PHD Life,Seminari e conferenze
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DTSTART;TZID=Europe/Rome:20251203T123000
DTEND;TZID=Europe/Rome:20251203T130000
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CREATED:20251125T160626Z
LAST-MODIFIED:20251125T160626Z
UID:31667-1764765000-1764766800@www.dica.polimi.it
SUMMARY:Learning the physics of free-surface fluid flows with AI
DESCRIPTION:Il prossimo appuntamento con la serie di incontri PhDTalks si terrà Mercoledì 3 dicembre nell’aula Grandori (Edificio 4)\, dalle 12:00 alle 13:00 CET. \nPhDTalks è una serie di seminari e discussioni tra dottorandi. Gli eventi hanno lo scopo di fornire un luogo dove creare un network tra dottorandi ed entrare in contatto con i molti progetti sviluppati nel nostro dipartimento. \nLo speaker Federico Lanteri condurrà un seminario dal titolo “Learning the physics of free-surface fluid flows with AI”.  \nAl termine dell’evento sarà disponibile un piccolo rinfresco finanziato dal dipartimento. \nSarà possibile seguire la conferenza anche online al seguente link. \nAbstract\nThe study of free-surface fluid flows is of significant interest across various research fields\, including civil\, aerospace\, and biomedical engineering. Numerical simulations approximating Navier–Stokes equations provide accurate descriptions of such phenomena but are often computationally expensive for real-world applications. In recent years\, deep learning has emerged as a promising approach for modeling complex physical systems\, offering data-driven alternatives to traditional solvers. However\, applying these techniques to free-surface flows is particularly challenging compared to standard fluid dynamics problems on fixed geometries\, as it requires neural network architectures capable of handling unstructured and dynamically evolving domains. By carefully designing such architectures and training them on datasets generated from high-fidelity numerical simulations\, it is possible to learn the complex underlying physics governing free-surface dynamics\, effectively building surrogate models that reproduce accurate solutions at a fraction of the computational cost. This approach opens new perspectives for real-time analysis\, optimization\, and control in engineering applications involving free-surface flows. \nSpeaker’s bio\nFederico is a PhD candidate in Structural\, Seismic\, and Geotechnical Engineering (40th cycle). He obtained a master degree in Mathematical Engineering in 2024 and he is now in the second year of his PhD. His work focuses on developing machine-learning methods to enhance and speed up simulations of free-surface fluid flows\, in particular cases involving complex materials. \nIn his free time\, Federico enjoys playing the saxophone\, hiking\, running and playing tennis
URL:https://www.dica.polimi.it/it/evento/learning-the-physics-of-free-surface-fluid-flows-with-ai/
CATEGORIES:PHD Life,Seminari e conferenze
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