A Physics-Informed Manifold Neural Operator Framework for Multi-Parameter Prediction of Polymer Aging in HTPB Solid Propellants.
- DOI
- 10.3390/polym18111400
- Published
- 2026-06-04
- Container
- Polymers (Basel)
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/polym18111400,
title = {A Physics-Informed Manifold Neural Operator Framework for Multi-Parameter Prediction of Polymer Aging in HTPB Solid Propellants.},
author = {Liu S and Qiang H and Geng T and Wang X and Pei S and Ju X.},
year = {2026},
journal = {Polymers (Basel)},
doi = {10.3390/polym18111400},
url = {https://doi.org/10.3390/polym18111400}
}RIS
TY - JOUR TI - A Physics-Informed Manifold Neural Operator Framework for Multi-Parameter Prediction of Polymer Aging in HTPB Solid Propellants. AU - Liu S AU - Qiang H AU - Geng T AU - Wang X AU - Pei S AU - Ju X. PY - 2026 JO - Polymers (Basel) DO - 10.3390/polym18111400 UR - https://doi.org/10.3390/polym18111400 ER -
APA
S, L., H, Q., T, G., X, W., S, P., & X., J. (2026). A Physics-Informed Manifold Neural Operator Framework for Multi-Parameter Prediction of Polymer Aging in HTPB Solid Propellants.. Polymers (Basel). https://doi.org/10.3390/polym18111400
Source records
- europe-pmc · retrieved 2026-09-25T11:09:43.176Z