Artificial neural network-driven optimization and mechanical energy evaluation of silica nanoparticle-enhanced Kevlar-Polypropylene socket composites for advanced biomedical implants.
- DOI
- 10.1080/10255842.2026.2723107
- Published
- 2026 Sep 1
- Container
- Computer methods in biomechanics and biomedical engineering
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1080/10255842.2026.2723107,
title = {Artificial neural network-driven optimization and mechanical energy evaluation of silica nanoparticle-enhanced Kevlar-Polypropylene socket composites for advanced biomedical implants.},
author = {Mani M},
year = {2026},
journal = {Computer methods in biomechanics and biomedical engineering},
doi = {10.1080/10255842.2026.2723107},
url = {https://doi.org/10.1080/10255842.2026.2723107}
}RIS
TY - JOUR TI - Artificial neural network-driven optimization and mechanical energy evaluation of silica nanoparticle-enhanced Kevlar-Polypropylene socket composites for advanced biomedical implants. AU - Mani M PY - 2026 JO - Computer methods in biomechanics and biomedical engineering DO - 10.1080/10255842.2026.2723107 UR - https://doi.org/10.1080/10255842.2026.2723107 ER -
APA
M, M. (2026). Artificial neural network-driven optimization and mechanical energy evaluation of silica nanoparticle-enhanced Kevlar-Polypropylene socket composites for advanced biomedical implants.. Computer methods in biomechanics and biomedical engineering. https://doi.org/10.1080/10255842.2026.2723107
Source records
- pubmed · retrieved 2026-09-26T10:18:09.599Z