Peer-reviewedCC BY-NC-ND 4.0Scientific Reports
Mathematical and machine learning analysis of high-density polyethylene thermal degradation
Related
- Application of indigenous bacterial strains isolated from plastics-contaminated sites in high-density polyethylene degradation
- Interpretable Machine Learning of Hydrogen Production from Reactive Molecular Dynamics Simulations of Polyethylene Oxidative Gasification
- A network epidemic model: From the mathematical analysis to machine learning experiments
- Machine Learning-Assisted Analysis of Chloride-Enhanced BiOCl/DSA Anode for Synergistic Denitrification and Tetracycline Degradation: Performance, Mechanisms, and Product Regulation
- Chemical Degradation of Waste Polyethylene Terephthalate and Its Application in Developing Asphalt Additives
BibTeX
@article{sakthi2026mathematical,
title = {{Mathematical and machine learning analysis of high-density polyethylene thermal degradation}},
author = {Sonia Sakthi S and Arulmozhi M},
journal = {Scientific Reports},
year = {2026},
month = oct,
doi = {10.1038/s41598-026-74103-4},
url = {https://www.nature.com/articles/s41598-026-74103-4},
note = {CC BY-NC-ND 4.0},
}
RIS
TY - JOUR
TI - Mathematical and machine learning analysis of high-density polyethylene thermal degradation
AU - Sonia Sakthi S
AU - Arulmozhi M
PY - 2026
DA - 2026/10/29
JO - Scientific Reports
DO - 10.1038/s41598-026-74103-4
UR - https://www.nature.com/articles/s41598-026-74103-4
SN - 2045-2322
ER -