Scientific Machine Learning for Polymeric Materials

Polymeric materials play a key role in supporting the ever-increasing demand for electronics, medicines, plastics, sensors, and the transition to renewable energy sources. This is achieved through polymers’ distinct features at different structural and temporal scales (i.e., a subtle change in their...

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Bibliografiset tiedot

Aineistotyyppi:	Online
Kieli:	englanti
Julkaistu:	MDPI - Multidisciplinary Digital Publishing Institute 2026
Aiheet:	Scientific machine learning Physics-based deep learning Physics-guided neural networks Physics-informed neural networks Polymer simulation Viscoelastic fluids thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries
Linkit:	ONIX_20260416T142754_9783725858392_48
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