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