Surrogates for Physics-based and Data-driven Modelling of Parametric Systems: Review and New Perspectives

ArXi:2603.12870v1 Announce Type: cross Surrogate models provide compact relations between user-defined input parameters and output quantities of interest, enabling the efficient evaluation of complex parametric systems in many-query settings. Such capabilities are essential in a wide range of applications, including optimisation, control, data assimilation, uncertainty quantification, and emerging digital twin technologies in various fields such as manufacturing, personalised healthcare, smart cities, and sustainability.