Minisymposia confirmados

Computational methods play a central role in the analysis and simulation of a broad range of electromagnetic phenomena and applications, supporting the development of advanced devices and a deeper understanding of the underlying physical processes. Many applications also involve the interaction of electromagnetic fields with other physical phenomena, giving rise to challenging multiphysics problems. This minisymposium aims to provide a forum for researchers in the field of computational electromagnetism to discuss recent developments, exchange ideas and discuss current and emerging challenges in the field. Contributions may address, among other topics, mathematical modelling, discretisation techniques, mathematical and numerical analysis, control and optimisation, multiphysics approaches, computational methodologies and applications.

This minisymposium focuses on the application of functional analysis tools to numerical methods for partial differential equations (PDEs). Topics of interest include continuous and discrete functional inequalities, nonstandard and fractional function spaces, well-posedness of PDEs in Banach spaces, inf-sup stability conditions for mixed formulations, and finite element complexes. The session aims to present recent advances in these areas and to discuss their role in proving the stability and convergence of numerical schemes

This mini-symposium explores the use of artificial neural networks as computational tools for solving partial differential equations. It aims to bring together researchers working at the intersection of scientific computing, numerical analysis, and machine learning to discuss recent methodological advances and practical applications. Particular emphasis will be placed on novel neural network architectures and learning strategies tailored to PDE problems. The session seeks to foster collaboration and exchange of ideas while highlighting the growing potential of neural network-based approaches to transform the modeling and numerical solution of complex PDE systems.