Prediction of viscosity behavior in oxide glass materials using cation fingerprints with artificial neural networks

Research article (Science and Technology of Advanced Materials, 2020) · cited 14× · AI/ML
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Prediction of viscosity behavior in oxide glass materials using cation fingerprints with artificial neural networks

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Prediction of viscosity behavior in oxide glass materials using cation fingerprints with artificial neural networks is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Prediction of viscosity behavior in oxide glass materials using cation fingerprints with artificial neural networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/prediction-of-viscosity-behavior-in-oxide-glass-materials-using-cation-fingerprints-with-artificial-neural-networks
MLA “Prediction of viscosity behavior in oxide glass materials using cation fingerprints with artificial neural networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/prediction-of-viscosity-behavior-in-oxide-glass-materials-using-cation-fingerprints-with-artificial-neural-networks.
BibTeX @misc{4ortxyz_prediction-of-viscosity-behavior-in-oxide-glass-materials-using-cation-fingerprints-with-artificial-neural-networks_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Prediction of viscosity behavior in oxide glass materials using cation fingerprints with artificial neural networks}}, year = {2026}, url = {https://4ort.xyz/entity/prediction-of-viscosity-behavior-in-oxide-glass-materials-using-cation-fingerprints-with-artificial-neural-networks}, note = {Accessed: 2026-05-24}}
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