Inorganic Chemistry Communications, Journal Year: 2025, Volume and Issue: unknown, P. 114737 - 114737
Published: May 1, 2025
Language: Английский
Inorganic Chemistry Communications, Journal Year: 2025, Volume and Issue: unknown, P. 114737 - 114737
Published: May 1, 2025
Language: Английский
Results in Surfaces and Interfaces, Journal Year: 2025, Volume and Issue: unknown, P. 100411 - 100411
Published: Jan. 1, 2025
Language: Английский
Citations
2Computational and Theoretical Chemistry, Journal Year: 2025, Volume and Issue: unknown, P. 115189 - 115189
Published: March 1, 2025
Language: Английский
Citations
0RSC Advances, Journal Year: 2025, Volume and Issue: 15(13), P. 10085 - 10105
Published: Jan. 1, 2025
Inorganic, non-toxic halide perovskites have emerged as photovoltaic field breakthroughs because of their outstanding physical properties, which make them viable for sustainable energy systems.
Language: Английский
Citations
0Langmuir, Journal Year: 2025, Volume and Issue: unknown
Published: May 20, 2025
This study investigates the optoelectronic characteristics of cubic perovskite Mg3AsBr3 for photovoltaic (PV) applications through first-principles density functional theory (DFT), driven by increasing interest in perovskites renewable energy solutions. is explored as an absorber layer conjunction with Cu2O hole transport (HTL) and various electron layers (ETLs), specifically WS2, ZnO, PC60BM, C60. SCAPS-1D simulations were employed to optimize parameters including doping concentration, thickness, defect charge layers. The results show significant variations power conversion efficiency (PCE) depending on ETL choice. Al/FTO/WS2/Mg3AsBr3/Cu2O/Au configuration exhibited optimal performance, achieving a VOC 1.03 V, FF 88.06%, PCE 32.55%, JSC 36.01 mA/cm2. Configurations utilizing C60 ETLs attained 32.47, 32.21, 31.63%, respectively. underscores significance choosing appropriate solar cell (PSC) performance. assesses aspects band alignment, density, series-shunt resistances that affect device durability. validated against wxAMPS simulations, machine learning model was created, forecasting essential performance metrics 84% accuracy. proposed optimized configurations improve sustainability PSCs.
Language: Английский
Citations
0Inorganic Chemistry Communications, Journal Year: 2025, Volume and Issue: unknown, P. 114737 - 114737
Published: May 1, 2025
Language: Английский
Citations
0