Predicting the heat capacity of strontium-praseodymium oxysilicate SrPr4(SiO4)3O using machine learning, deep learning, and hybrid models
A thorough examination of the specific heat capacity of strontium-praseodymium oxysilicate, which serves as a vital thermophysical parameter was investigated. This parameter is important in enhancing the performance and efficiency of heat transfer-based equipment, as well as applications in catalysi...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-03-01
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| Series: | Chemical Thermodynamics and Thermal Analysis |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2667312624000270 |
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