Simulation based optimization of the NC-shape grinding process with toroid grinding wheels. - Klaus Weinert; Heribert Blum; Tim Jansen; Andreas Rademacher (Prod. Eng., 2007)

Mixed FEM of higher-order for time-dependent contact problems. - Andreas Rademacher; Andreas Schröder 001; Heribert Blum; Heiko Kleemann (Appl. Math. Comput., 2014)

Simulation of grinding processes using finite element analysis and geometric simulation of individual grains. - Tobias Siebrecht; Dirk Biermann; Hannah Ludwig; Sascha Rausch; Petra Kersting; Heribert Blum; Andreas Rademacher (Prod. Eng., 2014)

Dual Weighted Residual Error Control for Frictional Contact Problems. - Andreas Rademacher; Andreas Schröder 001 (Comput. Methods Appl. Math., 2015)

Adaptive Optimal Control of the Obstacle Problem. - Christian Meyer 001; Andreas Rademacher; Winnifried Wollner (SIAM J. Sci. Comput., 2015)

NCP Function-Based Dual Weighted Residual Error Estimators for Signorini's Problem. - Andreas Rademacher (SIAM J. Sci. Comput., 2016)

Adaptive optimal control of Signorini's problem. - Andreas Rademacher; Korinna Rosin (Comput. Optim. Appl., 2018)

Dual weighted residual error estimation for the finite cell method. - Paolo Di Stolfo; Andreas Rademacher; Andreas Schröder 001 (J. Num. Math., 2019)

Mesh and model adaptivity for frictional contact problems. - Andreas Rademacher (Numerische Mathematik, 2019)

Deep Learning Methods for Partial Differential Equations and Related Parameter Identification Problems. - Derick Nganyu Tanyu; Jianfeng Ning; Tom Freudenberg; Nick Heilenkötter; Andreas Rademacher; Uwe Iben; Peter Maass (CoRR, 2022)

Parameter Identification by Deep Learning of a Material Model for Granular Media. - Derick Nganyu Tanyu; Isabel Michel; Andreas Rademacher; Jörg Kuhnert; Peter Maass (CoRR, 2023)