Automatic implementation of material laws: Jacobian calculation in a finite element code with TAPENADE. - Florian Zwicke; Philipp Knechtges; Marek Behr; Stefanie Elgeti (Comput. Math. Appl., 2016)

HeAT - a Distributed and GPU-accelerated Tensor Framework for Data Analytics. - Markus Götz; Charlotte Debus; Daniel Coquelin; Kai Krajsek; Claudia Comito; Philipp Knechtges; Björn Hagemeier; Michael Tarnawa; Simon Hanselmann; Martin Siggel; Achim Basermann; Achim Streit (IEEE BigData, 2020)

An Eigenvalue-Free Implementation of the Log-Conformation Formulation. - Florian Becker; Katharina Rauthmann; Lutz Pauli; Philipp Knechtges (CoRR, 2023)

FEM-based Neural Networks for Solving Incompressible Fluid Flows and Related Inverse Problems. - Franziska Griese; Fabian Hoppe 002; Alexander Rüttgers; Philipp Knechtges (CoRR, 2024)

Preconditioned FEM-based neural networks for solving incompressible fluid flows and related inverse problems. - Franziska Griese; Fabian Hoppe 002; Alexander Rüttgers; Philipp Knechtges (J. Comput. Appl. Math., 2025)

Uncertainty Quantification in Machine Learning Based Segmentation: A Post-Hoc Approach for Left Ventricle Volume Estimation in MRI. - Felix Terhag; Philipp Knechtges; Achim Basermann; Raúl Tempone (SIAM/ASA J. Uncertain. Quantification, 2025)

Sparse Bayesian Learning for Label Efficiency in Cardiac Real-Time MRI. - Felix Terhag; Philipp Knechtges; Achim Basermann; Anja Bach; Darius Gerlach; Jens Tank; Raúl Tempone (CoRR, 2025)