Seminar: Markus Reichstein

This talk explores the most often mentioned concept in the BGI department, hybrid modeling, a fusion of physical modeling and machine learning techniques. The aim is to demystify this approach, shedding light on its intricacies and applications. Hybrid modeling represents a powerful paradigm that integrates the strengths of physics-based simulations and data-driven machine learning models. By elucidating its principles and showcasing practical examples, the talk seeks to provide a comprehensive understanding of hybrid modeling, fostering its broader adoption and advancement across various scientific disciplines.