Oliver Weeger

According to our database, Oliver Weeger authored at least 19 papers between 2021 and 2025.

Collaborative distances:

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

2025

Physics-based Machine Learning for Computational Fracture Mechanics.

Fadi Aldakheel, Elsayed S. Elsayed, Yousef Heider, Oliver Weeger

CoRR, February, 2025

Stable Port-Hamiltonian Neural Networks.

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

CoRR, February, 2025

2024

Multiscale modeling of functionally graded shell lattice metamaterials for additive manufacturing.

Mohammad Shojaee, Iman Valizadeh, Dominik K. Klein, P. Sharifi, Oliver Weeger

Eng. Comput., June, 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

Machine Learning with Physics Knowledge for Prediction: A Survey.

Joe Watson, Chen Song, Oliver Weeger, Theo Gruner, An T. Le, Kay Hansel, Ahmed Hendawy, Oleg Arenz, Will Trojak, Miles Cranmer, Carlo D'Eramo, Fabian Bülow, Tanmay Goyal, Jan Peters, Martin W. Hoffman

CoRR, 2024

Multiscale topology optimization of functionally graded lattice structures based on physics-augmented neural network material models.

Jonathan Stollberg, Tarun Gangwar, Oliver Weeger, Dominik Schillinger

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

Physics-augmented neural networks for constitutive modeling of hyperelastic geometrically exact beams.

Jasper O. Schommartz, Dominik K. Klein, Juan C. Alzate Cobo, Oliver Weeger

CoRR, 2024

Nonlinear electro-elastic finite element analysis with neural network constitutive models.

Dominik K. Klein, Rogelio Ortigosa, Jesús Martínez-Frutos, Oliver Weeger

CoRR, 2024

2023

A robust finite strain isogeometric solid-beam element.

Abdullah Shafqat, Oliver Weeger, Bai-Xiang Xu

CoRR, 2023

Parametrised polyconvex hyperelasticity with physics-augmented neural networks.

Dominik K. Klein, Fabian J. Roth, Iman Valizadeh, Oliver Weeger

CoRR, 2023

Advanced discretization techniques for hyperelastic physics-augmented neural networks.

Marlon Franke, Dominik K. Klein, Oliver Weeger, Peter Betsch

CoRR, 2023

Neural networks meet hyperelasticity: A guide to enforcing physics.

Lennart Linden, Dominik K. Klein, Karl A. Kalina, Jörg Brummund, Oliver Weeger, Markus Kästner

CoRR, 2023

2022

Heat conduction combined grid-based optimization method for reconfigurable pavement sweeping robot path planning.

Huy Do, Anh Vu Le, Lim Yi, Joel Chan Cheng Hoong, Minh Tran, Van Duc Phan, Minh Bui Vu, Oliver Weeger, Rajesh Elara Mohan

Robotics Auton. Syst., 2022

How to Build the Optimal Magnet Assembly for Magnetocaloric Cooling: Structural Optimization with Isogeometric Analysis.

Michael Wiesheu, Melina Merkel, Tim Sittig, Dimitri Benke, Max Fries, Sebastian Schöps, Oliver Weeger, Idoia Cortes Garcia

CoRR, 2022

Finite electro-elasticity with physics-augmented neural networks.

Dominik K. Klein, Rogelio Ortigosa, Jesús Martínez-Frutos, Oliver Weeger

CoRR, 2022

2021

KnitKit: a flexible system for machine knitting of customizable textiles.

Georges Nader, Yu Han Quek, Pei Zhi Chia, Oliver Weeger, Sai-Kit Yeung

ACM Trans. Graph., 2021

Polyconvex anisotropic hyperelasticity with neural networks.

Dominik K. Klein, Mauricio Fernández, Robert J. Martin, Patrizio Neff, Oliver Weeger

CoRR, 2021

Path Planning for Reconfigurable hTetro Robot Combining Heat Conduction-Based and Discrete Optimization.

Huy Do, Anh Vu Le, Oliver Weeger, Rajesh Elara Mohan, Yujie Guo, Tan N. Nguyen, Minh Bui Vu, Van Duc Phan

IEEE Access, 2021