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20242026
most citedAutomating modeling in mechanics: LLMs as designers of physics-constrained neural networks for constitutive modeling of materials

1 citations · 2 across the 5 of their papers we have counts for

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cs.LG2025★ 1 cited

Automating modeling in mechanics: LLMs as designers of physics-constrained neural networks for constitutive modeling of materials

Marius Tacke, Matthias Busch, Kian Abdolazizi +4

Large language model (LLM)-based agentic frameworks increasingly adopt the paradigm of dynamically generating task-specific agents. We suggest that not only agents but also special…

physics.comp-ph2025

Machine-learned domain partitioning for computationally efficient coupling of continuum and particle simulations of membrane fabrication

Matthias Busch, Gregor Häfner, Jiayu Xie +4

All simulation approaches eventually face limits in computational scalability when applied to large spatiotemporal domains. This challenge becomes especially apparent in molecular-…