Oliver Weeger

Orcid: 0000-0002-1771-8129

According to our database1, Oliver Weeger authored at least 24 papers between 2021 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
On limitations of polyconvexity.
CoRR, May, 2026

Advances in polyconvex anisotropic hyperelasticity.
CoRR, May, 2026

The cross-sectional warping problem for hyperelastic beams: An efficient formulation in Voigt notation.
CoRR, April, 2026

Immersed boundary-conformal isogeometric methods for magnetostatics.
CoRR, April, 2026

Automated discovery of effective material models for nonhomogeneous hyperelastic materials.
Eng. Comput., February, 2026

2025
Physics-based Machine Learning for Computational Fracture Mechanics.
CoRR, February, 2025

Stable Port-Hamiltonian Neural Networks.
CoRR, February, 2025

Machine Learning with Physics Knowledge for Prediction: A Survey.
Trans. Mach. Learn. Res., 2025

2024
Multiscale modeling of functionally graded shell lattice metamaterials for additive manufacturing.
Eng. Comput., June, 2024

Digital twin inference from multi-physical simulation data of DED additive manufacturing processes with neural ODEs.
CoRR, 2024

Multiscale topology optimization of functionally graded lattice structures based on physics-augmented neural network material models.
CoRR, 2024

TwinLab: a framework for data-efficient training of non-intrusive reduced-order models for digital twins.
CoRR, 2024

Physics-augmented neural networks for constitutive modeling of hyperelastic geometrically exact beams.
CoRR, 2024

Nonlinear electro-elastic finite element analysis with neural network constitutive models.
CoRR, 2024

2023
A robust finite strain isogeometric solid-beam element.
CoRR, 2023

Parametrised polyconvex hyperelasticity with physics-augmented neural networks.
CoRR, 2023

Advanced discretization techniques for hyperelastic physics-augmented neural networks.
CoRR, 2023

Neural networks meet hyperelasticity: A guide to enforcing physics.
CoRR, 2023

2022
Heat conduction combined grid-based optimization method for reconfigurable pavement sweeping robot path planning.
Robotics Auton. Syst., 2022

How to Build the Optimal Magnet Assembly for Magnetocaloric Cooling: Structural Optimization with Isogeometric Analysis.
CoRR, 2022

Finite electro-elasticity with physics-augmented neural networks.
CoRR, 2022

2021
KnitKit: a flexible system for machine knitting of customizable textiles.
ACM Trans. Graph., 2021

Polyconvex anisotropic hyperelasticity with neural networks.
CoRR, 2021

Path Planning for Reconfigurable hTetro Robot Combining Heat Conduction-Based and Discrete Optimization.
IEEE Access, 2021


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