Polyurethanes (PU) are used in a range of various products (e.g. furniture). The physical and chemical properties of polyurethane-based products can be fine-tuned by using different additives (e.g. antioxidants). However, the development of new synthetic recipes to prepare better materials is usually based on trial-and-error cycles and thus, the process is expensive (time and material intensive). The development process can be accelerated by using machine learning (ML) algorithms. Therefore, the current project will combine the strength of experimental and computational tools to achieve new polyurethane types.
felvehető hallgatók száma: 1
Jelentkezési határidő: 2023-01-15
2024. IV. 17. ODT ülés Az ODT következő ülésére 2024. június 14-én, pénteken 10.00 órakor kerül sor a Semmelweis Egyetem Szenátusi termében (Bp. Üllői út 26. I. emelet).
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