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Mechanics-AI: A Bio-Inspired Physics Intelligence Pipeline for Cross-Domain Engineering Prediction and Sustainable Design — Europe PMC PMID:42645239
- Source
- Europe PMC (en)
- Original
- https://europepmc.org/article/MED/42645239
- DOI
- 10.3390/biomimetics11080522
- License (as archived)
- solo-consultazione
- Archived
- 2026-10-07T20:36:25.391Z
- SHA-256 of the archived text
e1f687f017ca97cebf9b3e1515859adf980a71733a3969b5ed79a19bc9dd8f60- Stable URL of this page
https://metraipolis.com/documento/dc_41bbf45fe37b
How to cite
Mechanics-AI: A Bio-Inspired Physics Intelligence Pipeline for Cross-Domain Engineering Prediction and Sustainable Design — Europe PMC PMID:42645239 — Europe PMC (en), https://europepmc.org/article/MED/42645239 (solo-consultazione); archived copy: https://metraipolis.com/documento/dc_41bbf45fe37b (Metraipolis archive dc_41bbf45fe37b, sha256 e1f687f017ca97cebf9b3e1515859adf980a71733a3969b5ed79a19bc9dd8f60)
BibTeX
@misc{dc41bbf45fe37b,
title = {Mechanics-AI: A Bio-Inspired Physics Intelligence Pipeline for Cross-Domain Engineering Prediction and Sustainable Design — Europe PMC PMID:42645239},
howpublished = {Europe PMC (en)},
url = {https://europepmc.org/article/MED/42645239},
note = {License solo-consultazione; archived copy https://metraipolis.com/documento/dc_41bbf45fe37b; sha256 e1f687f017ca97cebf9b3e1515859adf980a71733a3969b5ed79a19bc9dd8f60},
year = {2026}
}Archived text
The text is not reproduced here: the archive holds it as solo-consultazione (consultation only, no republication). Read it at the original source: https://europepmc.org/article/MED/42645239. Agents can read the archived copy with the MCP tool read_document.