Seminars

Abstract: The growth areas of energy conversion and storage in particular have created a massive demand for new active materials in recent years. In the field of heterogeneous catalysis, transition metal compounds are of particular interest, if only for reasons of sustainability and availability.

Advancements in quantum chemistry computer codes and, more recently, machine learning have significantly evolved the modelling of gas-surface dynamics, enhancing both accuracy and complexity [1]. This progress has primarily focused on comparing simulation results with well-defined molecular beam experiments.

Abstract: Modern engineering systems, such as intelligent transportation systems, smart grids, smart manufacturing systems, etc., often comprise numerous interconnected components with design requirements that are becoming increasingly complex.

Abstract: This talk explores innovative methods for understanding complex systems, highlighting three distinct yet complementary approaches. First, we address the decoupling problem and explore its connections to tensor-based techniques, emphasizing recent advancements and open challenges in decoupling multivariate functions.

Abstract: Multi-physics processes - such as heat flow, fluid dynamics, and electrical systems - are naturally described by Partial Differential Equations (PDEs). These mathematical models capture how physical quantities change over both space and time.