Center for Mathematics and Artificial Intelligence

References 

References

T.S.A. Ansari, R. Loehner, R. Wuechner, H. Antil, K-U. Bletzinger, S. Warnakulasuriya, I. Antonau, and F. Airaudo. Adjoint-Based Recovery of Thermal Fields From Displacement or Strain Measurements. Computer Methods in Applied Mechanics and Engineering (CMAME). Volume 438, Part A, 1 April 2025, 117818. DOI: https://doi.org/10.1016/j.cma.2025.117818

Airaudo, F., Antil, H., Löhner, R.
Conditional Value at Risk to Identify Weaknesses in Structural Digital Twins. Finite Elements in Analysis and Design (2025). DOI: https://doi.org/10.1016/j.finel.2025.10431

Löhner, R., Antil, H., Schöps, S., (2025). On Techniques for Barely Coupled Multiphysics. AIAA 2025-0576 (2025). DOI: 10.2514/6.2025-0576

Antonau, I., Warnakulasuriya, S., Ansari, T., Wüchner, R., Airaudo, F., Löhner, R., Antil, H., (2025) Comparison of the First Order Algorithms to Solve System Identification Problems of High-Fidelity Digital Twins. AIAA 2025-0285 (2025). DOI: 10.2514/6.2025-0285

Löhner, R., Airaudo, F., Antil, H., Wüchner, R., Warnakulasuriya, S., Antonau, I., Ansari, T., (2025) High-Fidelity Digital Twins: Zooming in on Weaknesses in Structures. AIAA 2025-0286 (2025). DOI: 10.2514/6.2025-0286

Ansari, T. S. A., Löhner, R., Wüchner, R., Antil, H., Warnakulasuriya, S., Antonau, I., & Airaudo, F. (2024). Adjoint-based Recovery of Thermal Fields from Displacement or Strain Measurements. arXiv preprint arXiv:2411.18118. Link: https://arxiv.org/pdf/2411.18118

Löhner, R., Airaudo, F., Antil, H., Wüchner, R., Meister, F., Warnakulasuriya, F. High-Fidelity Digital Twins: Detecting and Localizing Weaknesses in Structures. International Journal for Numerical Methods in Engineering (IJNME) 2024. DOI: https://doi.org/10.1002/nme.7568

Antil, H. “Mathematical Opportunities in Digital Twins (MATH-DT).” arXiv preprint arXiv:2402.10326 (2024). Link: https://arxiv.org/pdf/2402.10326

Löhner, R., Antil, H., Mut, F., & Cebral, J. (2024). Adjoint-based estimation of sensitivity of clinical measures to boundary conditions for arteries. Journal of Computational Physics, 497, 112619. Link: https://www.sciencedirect.com/science/article/abs/pii/S0021999123007143

Airaudo, F., Antil, H., Lohner, R., & Rakhimov, U. (2024). On the use of risk measures in digital twins to identify weaknesses in structures. In AIAA SCITECH 2024 Forum (p. 2622). DOI: https://doi.org/10.2514/6.2024-2622

Lohner, R., Airaudo, F., Antil, H., Wüchner, R., Meister, F., & Warnakulasuriya, S. (2024). High-Fidelity Digital Twins: Detecting and Localizing Weaknesses in Structures. In AIAA SCITECH 2024 Forum (p. 2621). DOI: https://doi.org/10.2514/6.2024-2621

F.N. Airaudo, R. Loehner, R. Wuechner, and H. Antil. Adjoint-based Determination of Weaknesses in Structures. Computer Methods in Applied Mechanics and Engineering (CMAME) Vol 417, Year 2023. DOI: link

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