Analysis of TGA data for polyvinyl alcohol at slow heating rate using deep neural networks, activation energy, and activation enthalpy
Abstract This research aims to enhance the deep neural network (DNN) model previously developed by this group, as referenced in10, by integrating degradation time into its feature set. It specifically addresses the thermal decomposition of polyvinyl alcohol (PVA) at low heating rates of 2, 5, and 10...
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| Hlavní autoři: | , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
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Nature Portfolio
2025-10-01
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| Edice: | Scientific Reports |
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| On-line přístup: | https://doi.org/10.1038/s41598-025-22946-8 |
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