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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...
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| Vydáno v: | Sci Technol Adv Mater |
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| Hlavní autoři: | , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Taylor & Francis
2020
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7476533/ https://ncbi.nlm.nih.gov/pubmed/32939174 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/14686996.2020.1786856 |
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