Sofie Danowski, M. Sc.

Sofie completed her Bachelor’s and Master’s degrees in Civil Engineering with a specialization in Structural Engineering at the University of Wuppertal. In parallel, she worked as a student at the Chair of Geotechnical Engineering and at the Ingenieurgesellschaft für Geotechnik Wuppertal.

She gained new insights through her Master’s thesis at the Chair of Computational Applied Mechanics (CAM) on the topic “Automated hyperparameter optimization for neural network-based constitutive modeling”. There, she discovered her interest in material modelling, in particular in the question of how the behavior of materials can be described accurately and robust with the help of neural networks. Her enthusiasm for this field of research motivated her to join the research group of Prof. Jaan-Willem Simon as a research associate.

In her current research, she works on metallic glasses, whose unique mechanical properties are based on complex nanoscale effects. She is developing a multiscale modelling approach, in which relevant structural nanoscale predictors are incorporated into a thermodynamically consistent macromodel, a “Constitutive Artificial Neural Network (CANN)”.