Bayesian surrogate assisted neural network model to predict the hydrogen storage in 9-ethylcarbazole

Bayesian surrogate assisted neural network model to predict the hydrogen storage in 9-ethylcarbazole

Optimization of the reaction conditions for hydrogen storage in 9-ethylcarbazole, an efficient liquid organic hydrogen carrier, is essential for advancing hydrogen energy applications. In this study, a deep neural network (DNN) model was developed to analyze the effects of key parameters such as tem...

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Bibliographic Details
Main Authors: Ahsan Ali, Mohammad Usman, Hafiz Muhammad Ali, Uzair Sajjad, Md. Abdul Aziz, M. Nasiruzzaman Shaikh
Format: Article
Language:English
Published: Elsevier 2025-05-01
Series:International Journal of Thermofluids
Subjects:
Bayesian surrogate Gaussian process
Hydrogen storage
LOHCs
Machine learning
9-ethylcarbazole
Online Access:http://www.sciencedirect.com/science/article/pii/S2666202725002174
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