Improving efficiency and stability of improved circular solar photovoltaic structures via multi-directional functionally graded materials: A computer simulation validated by hybrid machine learning algorithm and experimental datasets

The enhancement of solar photovoltaic (PV) structures remains a critical area of research for improving energy efficiency and structural stability. This study investigates the role of multi-directional functionally graded materials (FGMs) in optimizing the performance of circular solar PV systems. A...

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Veröffentlicht in:	Materials today communications Jg. 46; S. 112816
Hauptverfasser:	Han, Simeng, Li, Jialing
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.06.2025
Schlagworte:	Circular solar photovoltaic structure Computer simulation Hybrid machine learning algorithm Multi-physics simulation Poroelasticity Zigzag theory Circular solar photovoltaic structure Computer simulation Multi-physics simulation Poroelasticity Zigzag theory Hybrid machine learning algorithm
ISSN:	2352-4928, 2352-4928
Online-Zugang:	Volltext
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