Predicting Mechanical Responses in Polymer Blends with Unintended Polymer Fractions Using an Efficient Neural Network-Based Constitutive Material Model.
- DOI
- 10.3390/polym17070963
- Published
- 2025 Apr 1
- Container
- Polymers
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/polym17070963,
title = {Predicting Mechanical Responses in Polymer Blends with Unintended Polymer Fractions Using an Efficient Neural Network-Based Constitutive Material Model.},
author = {Tang N and Hao P and Tiscar JM and Gilabert FA},
year = {2025},
journal = {Polymers},
doi = {10.3390/polym17070963},
url = {https://doi.org/10.3390/polym17070963}
}RIS
TY - JOUR TI - Predicting Mechanical Responses in Polymer Blends with Unintended Polymer Fractions Using an Efficient Neural Network-Based Constitutive Material Model. AU - Tang N AU - Hao P AU - Tiscar JM AU - Gilabert FA PY - 2025 JO - Polymers DO - 10.3390/polym17070963 UR - https://doi.org/10.3390/polym17070963 ER -
APA
N, T., P, H., JM, T., & FA, G. (2025). Predicting Mechanical Responses in Polymer Blends with Unintended Polymer Fractions Using an Efficient Neural Network-Based Constitutive Material Model.. Polymers. https://doi.org/10.3390/polym17070963
Source records
- pubmed · retrieved 2026-09-26T22:29:59.662Z