Scientific Machine Learning And Simulation Intelligence – Trieste

• Further relevant references can be found therein. Other relevant references as well as slides will be provided throughout the course.

Argomenti del programma: This course introduces the principles and methodologies of Scientific Machine Learning and Simulation Intelligence for the development of data-driven and physics-informed models of complex systems. It provides students with the theoretical foundations and practical skills required to develop, analyse, and critically assess surrogate models and digital twins, integrate physical knowledge with machine learning…