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Prediction of viscosity behavior in oxide glass materials using cation fingerprints with artificial neural networks
We propose a novel descriptor of materials, named ‘cation fingerprints’, based on the chemical formula or concentrations of raw materials and their respective properties. To test its performance, this method was used to predict the viscosity of glass materials using the experimental database INTERGL...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Taylor & Francis
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7476533/ https://www.ncbi.nlm.nih.gov/pubmed/32939174 http://dx.doi.org/10.1080/14686996.2020.1786856 |