In-context learning as a retraining-free paradigm for constitutive modeling.
- DOI
- 10.1073/pnas.2620983123
- Published
- 2026 Nov 3
- Container
- Proceedings of the National Academy of Sciences of the United States of America
- Publisher
- Not recorded
- Open access
- yes
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limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1073/pnas.2620983123,
title = {In-context learning as a retraining-free paradigm for constitutive modeling.},
author = {Li L and Li Z and Li S and Zhan K and Gao H and Chen CQ and Yang L},
year = {2026},
journal = {Proceedings of the National Academy of Sciences of the United States of America},
doi = {10.1073/pnas.2620983123},
url = {https://doi.org/10.1073/pnas.2620983123}
}RIS
TY - JOUR TI - In-context learning as a retraining-free paradigm for constitutive modeling. AU - Li L AU - Li Z AU - Li S AU - Zhan K AU - Gao H AU - Chen CQ AU - Yang L PY - 2026 JO - Proceedings of the National Academy of Sciences of the United States of America DO - 10.1073/pnas.2620983123 UR - https://doi.org/10.1073/pnas.2620983123 ER -
APA
L, L., Z, L., S, L., K, Z., H, G., CQ, C., & L, Y. (2026). In-context learning as a retraining-free paradigm for constitutive modeling.. Proceedings of the National Academy of Sciences of the United States of America. https://doi.org/10.1073/pnas.2620983123
Source records
- pubmed · retrieved 2026-11-10T10:35:17.053Z