Maximilian Kannapinn

According to our database, Maximilian Kannapinn authored at least 7 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Stable Port-Hamiltonian Neural Networks.

Fabian J. Roth, Dominik K. Klein, Maximilian Kannapinn, Jan Peters, Oliver Weeger

CoRR, February, 2025

Neural networks meet hyperelasticity: A monotonic approach.

Dominik K. Klein, Mokarram Hossain, Konstantin Kikinov, Maximilian Kannapinn, Stephan Rudykh, Antonio J. Gil

CoRR, January, 2025

2024

Digital twin inference from multi-physical simulation data of DED additive manufacturing processes with neural ODEs.

Maximilian Kannapinn, Fabian J. Roth, Oliver Weeger

CoRR, 2024

TwinLab: a framework for data-efficient training of non-intrusive reduced-order models for digital twins.

Maximilian Kannapinn, Michael Schäfer, Oliver Weeger

CoRR, 2024

2022

Endeavouring Intelligent Process Self-Control by Employing Digital Twin Methodology: Proof-of-Concept Study for Cooking Applications.

Maximilian Kannapinn, Michael Schäfer

CoRR, 2022

Autonomous Cooking with Digital Twin Methodology.

Maximilian Kannapinn, Michael Schäfer

CoRR, 2022

Physics-based Digital Twins for Autonomous Thermal Food Processing: Efficient, Non-intrusive Reduced-order Modeling.

Maximilian Kannapinn, Minh Khang Pham, Michael Schäfer

CoRR, 2022