Multiscale modelling in materials science and technology

In the recent past, multiscale materials modelling became a central idea in understanding present day's complex composites and in making progress in the development of advanced materials. Applications range from structural materials used in construction, predicting microstructures and mechanical properties of additively manufactured lightweight designs as well as functional materials such as electrically conductive polymers. This paper aims at giving recent examples from our recent work on multiscale material models as well as an overview of further work on the atomistic scale. It encompasses the prediction of electrical conductivity of conductive polymers, the investigation of hydrogen diffusion in Fe allotropes and the application of a modern machine-learning (ML) based approach to generate a very accurate interatomic potential for describing the Ni-Al interaction over a wide temperature range.