Coupled computational fluid dynamics and machine learning approach for rapid and accurate prediction of phase change material thermal storage performance

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Authors: Ali Radwan, Ali I. Siam, Essam M. Abo-Zahhad, Salah Haridy, Hamdi Bashir, Mohammad Shamsuzzaman
Cited by: 2
References: 42

Fields of Study & Subjects

Phase Change Materials Research Solar Thermal and Photovoltaic Systems Adsorption and Cooling Systems

Publication details

Journal / source
Journal of Energy Storage
Publisher
Elsevier BV
Volume
156
Pages
121445–121445
Publication date
19 March 2026
Language
EN