Predicting the heat capacity of strontium-praseodymium oxysilicate SrPr4(SiO4)3O using machine learning, deep learning, and hybrid models

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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Bibliographic Details
Main Authors: Amir Hossein Sheikhshoaei, Ali Khoshsima, Davood Zabihzadeh
Format: Article
Language:English
Published: Elsevier 2025-03-01
Series:Chemical Thermodynamics and Thermal Analysis
Subjects:
Machine learning
Heat capacity
Apatite
Deep learning
Hybrid models
Online Access:http://www.sciencedirect.com/science/article/pii/S2667312624000270
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