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Comparison of Machine Learning Methods towards Developing Interpretable Polyamide Property Prediction
Polyamides are often used for their superior thermal, mechanical, and chemical properties. They form a diverse set of materials that have a large variation in properties between linear to aromatic compounds, which renders the traditional quantitative structure–property relationship (QSPR) challengin...
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8587315/ https://www.ncbi.nlm.nih.gov/pubmed/34771210 http://dx.doi.org/10.3390/polym13213653 |