LLM-driven design of physics-constrained constitutive models: Two agents are better than one.
- DOI
- 10.1007/s44379-026-00099-3
- Published
- 2026
- Container
- Machine learning for computational science and engineering
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1007/s44379-026-00099-3,
title = {LLM-driven design of physics-constrained constitutive models: Two agents are better than one.},
author = {Tacke M and Busch M and Abdolazizi K and Eichinger J and Linka K and Aydin R and Cyron C},
year = {2026},
journal = {Machine learning for computational science and engineering},
doi = {10.1007/s44379-026-00099-3},
url = {https://doi.org/10.1007/s44379-026-00099-3}
}RIS
TY - JOUR TI - LLM-driven design of physics-constrained constitutive models: Two agents are better than one. AU - Tacke M AU - Busch M AU - Abdolazizi K AU - Eichinger J AU - Linka K AU - Aydin R AU - Cyron C PY - 2026 JO - Machine learning for computational science and engineering DO - 10.1007/s44379-026-00099-3 UR - https://doi.org/10.1007/s44379-026-00099-3 ER -
APA
M, T., M, B., K, A., J, E., K, L., R, A., & C, C. (2026). LLM-driven design of physics-constrained constitutive models: Two agents are better than one.. Machine learning for computational science and engineering. https://doi.org/10.1007/s44379-026-00099-3
Source records
- pubmed · retrieved 2026-11-10T11:39:29.839Z
- europe-pmc · retrieved 2026-11-10T11:39:29.846Z