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Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

Author

Moritz Flaschel

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Jul 2026

Neural operators solve inverse problems for constitutive model discovery

This work proposes two neural operator architectures that directly map experimentally measured data to the constitutive functions governing the mechanical response of the material: Physics-Augmented Neural Operators (PANO) and Constitutive Artificial Neural Operators (CANO).

Moritz Flaschel, Burigede Liu, Ellen Kuhl · 1 citation
Preprint Aug 2026

Benchmarking data-driven material models on the classic Treloar dataset

The classic experimental data of Treloar is used to benchmark popular frameworks for hyperelasticity: (Generalized-Invariant) Constitutive Artificial Neural Networks, Physics-Augmented Neural Networks, (Adaptive) Material Fingerprinting, and Efficient Unsupervised Constitutive Law Identification&Discovery and highlight...

H. Holthusen, Moritz Flaschel, Denisa Martonová et al. · 0 citations

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