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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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Bibliografski detalji
Izdano u:Sci Technol Adv Mater
Glavni autori: Hwang, Jaekyun, Tanaka, Yuta, Ishino, Seiichiro, Watanabe, Satoshi
Format: Artigo
Jezik:Inglês
Izdano: Taylor & Francis 2020
Teme:
Online pristup: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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