7th GAMM Juniors' Summer School on Applied Mathematics and Mechanics (SAMM20)

Volume 20 (2020), Issue S1 of PAMM “Proceedings in Applied Mathematics and Mechanics” assembles the contributions to the 7th GAMM Juniors' Summer School on Applied Mathematics and Mechanics (SAMM) which took place from 27th to 31st July 2020. The event was originally planned as an in‐person meeting at the Max Planck Institute for Dynamics of Complex Technical Systems in Magdeburg, but then converted to a virtual event due to the restrictions caused by the COVID‐19 pandemic. The contributions are listed below. Learning Models from Data: Model Reduction, System Identification and Machine Learning ProceedingsQuirin Aumann and Gerhard Müller Predicting near optimal interpolation points for parametric model order reduction using regression models doi:10.1002/pamm.202000352Hadi Minbashian and Jan Giesselmann Deep Learning for Hyperbolic Conservation Laws with Non‐convex Flux doi:10.1002/pamm.202000347Francesco Romor, Marco Tezzele, and Gianluigi Rozza Multi‐fidelity data fusion for the approximation of scalar functions with low intrinsic dimensionality through active subspaces doi:10.1002/pamm.202000349PostersAndrea Angeli, Frank Naets, and Wim Desmet Deep learning of multibody minimal coordinates doi:10.1002/pamm.202000348Nicole Aretz, Peng Chen, and Karen Veroy Sensor selection for hyper‐parameterized linear Bayesian inverse problems doi:10.1002/pamm.202000357Ion Victor Gosea, Qiang Zhang, and Athanasios C. Antoulas Data‐driven modeling from noisy measurements doi:10.1002/pamm.202000358Dimitrios S. Karachalios, Ion Victor Gosea, and Athanasios C. Antoulas Data‐driven (Bilinear) identification and reduction doi:10.1002/pamm.202000346Jonas Kneifl and Jörg Fehr Machine Learning Algorithms for Learning Nonlinear Terms of Reduced Mechanical Models in Explicit Structural Dynamics doi:10.1002/pamm.202000353Manu Krishnan, Serkan Gugercin, and Pablo Tarazaga Wavelet-based dynamic mode decomposition doi:10.1002/pamm.202000355Federico Pichi, Francesco Ballarin, Gianluigi Rozza, and Jan S. Hesthaven Artificial neural network for bifurcating phenomena modelled by nonlinear parametrized PDEs doi:10.1002/pamm.202000350Christian Sperber, Wilhelm Weber, and Peter Eberhard Data‐based Approach for Fault Diagnosis of Hydropower Rotors doi:10.1002/pamm.202000354Maria Strazzullo, Francesco Ballarin, and Gianluigi Rozza Reduced Order Models for Optimal Flow Control doi:10.1002/pamm.202000351Süleyman Yıldız, Pawan Goyal, Peter Benner, Bülent Karasözen Data‐Driven Learning of Reduced‐Order Dynamics for a Parametrized Shallow Water Equation doi:10.1002/pamm.202000360